Relevant bibliographies by topics / Representation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Representation'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 October 2024

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Journal articles on the topic "Representation"

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Lee, Jungmin, and Wongyoung Lee. "Aspects of A Study on the Multi Presentational Metaphor Education Using Online Telestration." Korean Society of Culture and Convergence 44, no. 9 (September 30, 2022): 163–73. http://dx.doi.org/10.33645/cnc.2022.9.44.9.163.

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This study is an attempt to propose a multiple representational metaphor education model that combines linguistic representation and visual representation using online telestration. The advent of the media and online era has incorporated not only the understanding of linguistic representation l but also the understanding of visual representation into an important phase of cognitive behavior and requires the implementation of online learning. In such an era's needs, it can be said that teaching-learning makes metaphors be used as a tool for thinking and cognition in an online environment, learning leads learners to a new horizon of perception by combining linguistic representation and visual representation. The multiple representational metaphor education model using online telestration will have a two-way dynamic interaction in an online environment, and it will be possible to improve learning capabilities by expressing various representations. Multiple representational metaphor education using online telestration will allow us to consider new perspectives and various possibilities of expression to interpret the world by converging and rephrasing verbal and visual representations using media in an online environment.
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Kölbel, Max. "Perspectival representation and fallacies in metaethics." Canadian Journal of Philosophy 48, no. 3-4 (2018): 379–404. http://dx.doi.org/10.1080/00455091.2018.1432398.

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AbstractThe prevailing theoretical framework for theorising about representation construes all representation as involving objective representational contents. This classic framework has tended to drive philosophers either to claim that evaluative judgements are representations and therefore objective, or else to claim that evaluative judgements are not really representations, because they are not objective. However, a more general, already well-explored framework is available, which will allow theorists to treat evaluative judgements as full-fledged representations (thus doing justice to their representational aspects) while leaving open whether they are objective. Such a more general conception of representational content is exemplified, e.g. by Lewis's ‘centred contents’ and Gibbard's framework of ‘contents of judgement’, thus it is not new. I shall start in §1 by introducing the more general framework of perspectival contents and then illustrate in §2 how awareness of it can help expose the fallaciousness of certain widely used forms of argumentation in metaethics.
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Stone, Christopher, and Larry Bull. "For Real! XCS with Continuous-Valued Inputs." Evolutionary Computation 11, no. 3 (September 2003): 299–336. http://dx.doi.org/10.1162/106365603322365315.

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Many real-world problems are not conveniently expressed using the ternary representation typically used by Learning Classifier Systems and for such problems an interval-based representation is preferable. We analyse two interval-based representations recently proposed for XCS, together with their associated operators and find evidence of considerable representational and operator bias. We propose a new interval-based representation that is more straightforward than the previous ones and analyse its bias. The representations presented and their analysis are also applicable to other Learning Classifier System architectures. We discuss limitations of the real multiplexer problem, a benchmark problem used for Learning Classifier Systems that have a continuous-valued representation, and propose a new test problem, the checkerboard problem, that matches many classes of real-world problem more closely than the real multiplexer. Representations and operators are compared using both the real multiplexer and checkerboard problems and we find that representational, operator and sampling bias all affect the performance of XCS in continuous-valued environments.
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Khalifa, Kareem, Jared Millson, and Mark Risjord. "Scientific Representation: An Inferentialist-Expressivist Manifesto." Philosophical Topics 50, no. 1 (2022): 263–91. http://dx.doi.org/10.5840/philtopics202250112.

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This essay presents a fully inferentialist-expressivist account of scientific representation. In general, inferentialist approaches to scientific representation argue that the capacity of a model to represent a target system depends on inferences from models to target systems (surrogative inference). Inferentialism is attractive because it makes the epistemic function of models central to their representational capacity. Prior inferentialist approaches to scientific representation, however, have depended on some representational element, such as denotation or representational force. Brandom’s Making It Explicit provides a model of how to fully discharge such representational vocabulary, but it cannot be applied directly to scientific representations. Pursuing a strategy parallel to Brandom’s, this essay begins with an account of how surrogative inference is justified. Scientific representation and the denotation of model elements are then explained in terms of surrogative inference by treating scientific representation and denotation as expressive, analogous to Brandom’s account of truth. The result is a thoroughgoing inferentialism: M is a scientific representation of T if and only if M has scientifically justified surrogative consequences that are answers to questions about T.
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Suárez, Luis Alfonso de la Fuente. "TOWARDS EXPERIENTIAL REPRESENTATION IN ARCHITECTURE." Journal of Architecture and Urbanism 40, no. 1 (April 6, 2016): 47–58. http://dx.doi.org/10.3846/20297955.2016.1163243.

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Planning and predicting the experiences that buildings will produce is an essential part of architectural design. The importance of representation lies in its ability to communicate experiences before a building is materialized. This article will treat the topic of representation of architecture works without putting aside our direct experience with edifices. By understanding the perceptual, associative and interactive phenomena that arise from the human encounter with buildings, it becomes possible to comprehend the representation of these phenomena through pictorial means. The first objective of this theoretical article is to define the inherent and unavoidable factors that are present in the creation and interpretation of all architectural representations, regardless of the technical means used. Any representation conveys two processes: the representation of experience (a creative process), and the experience of representation (an interpretive process). Furthermore, there exist two layers in any representation: the what (the architectural object) and the how (the representational medium). The second objective is to suggest alternatives to visual realism, in order to create representations that embody the particular phenomena that an architectural work will be able to produce. On the one hand, representations that pretend to copy reality produce in the observers detailed visual experiences; on the other hand, certain representations reflect the experiences themselves after they have been produced; they represent buildings as they are transformed by experience. This article focuses on those representations that are not only the reflection of an object, but also the reflection of our way of experiencing it.
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Hamilton, Emma, and Alistair Rolls. "Vanilla and/or Vanilla Twist: Political Representation and Equilibrium in Assault on Precinct 13." Journal of Asia-Pacific Pop Culture 8, no. 2 (November 2023): 211–30. http://dx.doi.org/10.5325/jasiapacipopcult.8.2.0211.

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Abstract This article explores the nature of political representation in John Carpenter’s 1976 film Assault on Precinct 13. Previous scholars have taken divergent views of the representation, particularly racial representation, in this film, suggesting it is variously apolitical, conservative, or liberal. This article uses the lens of a “representational equilibrium” to explore the ways in which meaning is constructed in this film and, moreover, the ways in which seemingly contradictory interpretations and meanings can be held at once. A representational equilibrium helps us to understand how representations are distinctly historical and how it is possible, when viewing representation through the lens of its historical context, to understand how a film’s message can be both repressive and liberal, or, in other words, how we can see within the film’s representations evidence of enormous historical change, but no corresponding transformation in the relationships of power that the film conveys. Such a perspective accounts for complex, contradictory, and ambiguous representations and audience identifications, which seek to categorize a film not as either one thing or another but, rather, as capable of being many things at once.
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Maley, Corey J. "Icons, Magnitudes, and Their Parts." Crítica (México D. F. En línea) 55, no. 163 (May 12, 2023): 129–54. http://dx.doi.org/10.22201/iifs.18704905e.2023.1411.

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Analog representations come in different types. One distinction is between those representations that have parts that are themselves representations and those that do not (i.e., those for which the Parts Principle is true and those for which it is not). I offer a unified account of analog representation, showing what all types have in common. This account clarifies when the Parts Principle applies and when it does not, thereby illuminating why the Parts Principle is less interesting than one might have thought. Understanding analog representation instead requires understanding the kinds of magnitudes used in a particular representation, and the kinds of variation possible within a representational scheme.
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Lestari, Nurcholif Diah Sri, Wasilatul Murtafiah, Marheny Lukitasari, Suwarno Suwarno, and Inge Wiliandani Setya Putri. "IDENTIFIKASI RAGAM DAN LEVEL KEMAMPUAN REPRESENTASI PADA DESAIN MASALAH LITERASI MATEMATIS DARI MAHASISWA CALON GURU." KadikmA 13, no. 1 (April 30, 2022): 11. http://dx.doi.org/10.19184/kdma.v13i1.31538.

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Representation is one of the fundamental abilities of mathematics reflected by students understanding of mathematics concepts, principles, or procedures, so it becomes crucial for teachers to develop students' mathematical representation skills. This research was time to describe the representation used in the problem and the level of mathematical representation ability needed to solve mathematical literacy problems. The data was collected through the assignment to design mathematical literacy problems between 3-10 pieces and interview as triangulation on 35 prospective elementary school teacher students. The data are grouped based on various representations and analyzed quantitatively and descriptively. Then one problem is chosen randomly for each type of representation to describe the level of representation ability needed to solve the problem qualitatively. The results show that the mathematical representations used in designed mathematical literacy problems are pictorial-verbal, pictorial-symbolic, verbal-symbolic, pictorial, verbal, symbolic, and pictorial-verbal-symbolic representations. The level of representational ability that tends to be needed to solve problems is levels 0 and 1. This study suggests that prospective teacher students should develop mathematical representation knowledge to improve the quality of their learning in the future
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Park, Sangwon. "Projective representations of quivers." International Journal of Mathematics and Mathematical Sciences 31, no. 2 (2002): 97–101. http://dx.doi.org/10.1155/s0161171202108192.

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We prove thatP1 →f P2is a projective representation of a quiverQ=•→•if and only ifP1andP2are projective leftR-modules,fis an injection, andf (P 1)⊂P 2is a summand. Then, we generalize the result so that a representationM1 →f1 M2 →f2⋯→fn−2 Mn−1→fn−1 Mnof a quiverQ=•→•→•⋯•→•→•is projective representation if and only if eachMiis a projective leftR-module and the representation is a direct sum of projective representations.
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Coiera, Enrico. "The qualitative representation of physical systems." Knowledge Engineering Review 7, no. 1 (March 1992): 55–77. http://dx.doi.org/10.1017/s0269888900006159.

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AbstractThe representation of physical systems using qualitative formalisms is examined in this review, with an emphasis on recent developments in the area. The push to develop reasoning systems incorporating deep knowledge originally focused on naive physical representations, but has now shifted to more formal ones based on qualitative mathematics. The qualitative differential constraint formalism used in systems like QSIM is examined, and current efforts to link this to competing representations like Qualitative Process Theory are noted. Inference and representation are intertwined, and the decision to represent notions like causality explicitly, or infer it from other properties, has shifted as the field has developed. The evolution of causal and functional representations is thus examined. Finally, a growing body of work that allows reasoning systems to utilize multiple representations of a system is identified. Dimensions along which multiple model hierarchies could be constructed are examined, including mode of behaviour, granularity, ontology, and representational depth.
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Dissertations / Theses on the topic "Representation"

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Nazerian, Lua. "Rethinking representative democracy : Representation beyond contestation & partisan politics." Thesis, Södertörns högskola, Internationella relationer, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-38583.

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The current forms of representative democracy have come to face various fundamental challenges such as: decrease in political participation, distrust in partisan politics and politicians and perhaps increase of ideological polarization. To take solace in the belief that the current democratic tools are far from perfect yet the finest in modern societies, has not contributed to solution-oriented modifications of its efficacy. In this thesis Lua Nazerian intends to address the inadequacies and inherent limitations in the current form of representative democracy, by analyzing its underlying assumptions through a critical examination of the fundamental challenges in Classical pluralism, Agonist and Deliberative democratic theory. Furthermore, it proposes some modifications drawn from the Socratic idea of the non-pursuit of power, the bottom-up political approach and the learnings from the worldwide Baha’i community. The study is carried out within the field of international relations with a normative approach as well as it incorporates a case study of the Baha’i electoral and decision-making principle. Nevertheless, by using the Socratic idea together with the Baha’i principles in a bottom-up approach shifts then the paradigm from the inherent competitive culture of representative democracy to a more inclusive solution-oriented culture of learning.
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Ibáñez, Victoria Marie. "DESCRIPTIVE REPRESENTATION, REPRESENTATIVE BUREAUCRACY AND BILINGUAL EDUCATION POLICY: EXAMINING IMPLEMENTATION." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_theses/161.

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In this study, I examine the factors that influence school districts’ commitment to implement ESL (English as a Second Language) education in compliance with the federal Bilingual Education Act of 1968. To explain variation in implementation effort, I focus on several features of the local implementation environment, including the role of Latino descriptive representation. Utilizing data on all public school districts in Texas, I employ a Heckman two-stage estimation procedure that accounts for factors that influence school districts’ decisions to implement bilingual education programs as well as factors that affect the amount of resources school districts are willing to allocate towards bilingual education. The results indicate that Latino school board and teacher representation play a positive and statistically significant role in determining: 1) whether school districts implement bilingual education programs; and 2) the level of expenditures and teacher positions allocated towards bilingual education. Thus, policy implementation outcomes translate into substantive representation.
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Enes, Elin, and Andreas Hallin. "KOMMUNAL POLITISK REPRESENTATION : Nämnd, ett representativt och politiskt styrt organ?" Thesis, Örebro universitet, Institutionen för humaniora, utbildnings- och samhällsvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-42546.

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Gill, Lucchesi Emilia. "Representation : Kvinnlig och manlig representation i religionsläromedel." Thesis, Högskolan i Gävle, Avdelningen för kultur-, religions- och utbildningsvetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17063.

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This study aims to investigate how women’s and men’s religious and cultural experiences are represented in three religious studies textbooks for the new curriculum GY11. The chapter on Hinduism in each book has been analyzed and subsequently compared to one another. This study focuses on both qualitative and quantitative representation; how much space is given to each sex and what types of experiences are presented. The method used is framing, which means recurring themes and attitudes about said groups have been looked for. The results show that both the quantitative and qualitative representation of Hindu women and men is relatively even, which shows a positive development from textbooks published a decade ago.
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Wilhelmson, Mika. "Representations of culture in EIL : Cultural representation in Swedish EFL textbooks." Thesis, Högskolan Dalarna, Engelska, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:du-21120.

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The English language has become an international language and is globally used as a lingua franca. Therefore, there has been a shift in English-language education toward teaching English as an interna-tional language (EIL). Teaching from the EIL paradigm means that English is seen as an international language used in communication by people from different linguistic and cultural backgrounds. As the approach to English-language education changes from the traditional native-speaker, target country context, so does the role of culture within English-language teaching. The aim of this thesis is to in-vestigate and analyse cultural representations in two Swedish EFL textbooks used in upper-secondary school to see how they correspond with the EIL paradigm. This is done by focusing on the geograph-ical origin of the cultural content as well as looking at what kinds of culture are represented in the textbooks. A content analysis of the textbooks is conducted, using Kachru’s Concentric Circles of English as the model for the analysis of the geographical origin. Horibe’s model of the three different kinds of culture in EIL is the model used for coding the second part of the analysis. The results of the analysis show that culture of target countries and "Culture as social custom" dominate the cultural content of the textbook. Thus, although there are some indications that the EIL paradigm has influ-enced the textbooks, the traditional approach to culture in language teaching still prevails in the ana-lysed textbooks. Because of the relatively small sample included in the thesis, further studies need to be conducted in order to make conclusions regarding the Swedish context as a whole.
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Mehta, Nishant A. "On sparse representations and new meta-learning paradigms for representation learning." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52159.

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Given the "right" representation, learning is easy. This thesis studies representation learning and meta-learning, with a special focus on sparse representations. Meta-learning is fundamental to machine learning, and it translates to learning to learn itself. The presentation unfolds in two parts. In the first part, we establish learning theoretic results for learning sparse representations. The second part introduces new multi-task and meta-learning paradigms for representation learning. On the sparse representations front, our main pursuits are generalization error bounds to support a supervised dictionary learning model for Lasso-style sparse coding. Such predictive sparse coding algorithms have been applied with much success in the literature; even more common have been applications of unsupervised sparse coding followed by supervised linear hypothesis learning. We present two generalization error bounds for predictive sparse coding, handling the overcomplete setting (more original dimensions than learned features) and the infinite-dimensional setting. Our analysis led to a fundamental stability result for the Lasso that shows the stability of the solution vector to design matrix perturbations. We also introduce and analyze new multi-task models for (unsupervised) sparse coding and predictive sparse coding, allowing for one dictionary per task but with sharing between the tasks' dictionaries. The second part introduces new meta-learning paradigms to realize unprecedented types of learning guarantees for meta-learning. Specifically sought are guarantees on a meta-learner's performance on new tasks encountered in an environment of tasks. Nearly all previous work produced bounds on the expected risk, whereas we produce tail bounds on the risk, thereby providing performance guarantees on the risk for a single new task drawn from the environment. The new paradigms include minimax multi-task learning (minimax MTL) and sample variance penalized meta-learning (SVP-ML). Regarding minimax MTL, we provide a high probability learning guarantee on its performance on individual tasks encountered in the future, the first of its kind. We also present two continua of meta-learning formulations, each interpolating between classical multi-task learning and minimax multi-task learning. The idea of SVP-ML is to minimize the task average of the training tasks' empirical risks plus a penalty on their sample variance. Controlling this sample variance can potentially yield a faster rate of decrease for upper bounds on the expected risk of new tasks, while also yielding high probability guarantees on the meta-learner's average performance over a draw of new test tasks. An algorithm is presented for SVP-ML with feature selection representations, as well as a quite natural convex relaxation of the SVP-ML objective.
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Plate, Tony A. "Holographic reduced representation : distributed representation for cognitive structures /." Stanford, Calif. : CSLI, 2003. http://www.loc.gov/catdir/toc/uchi051/2003043513.html.

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Parkinson, Jon. "Representation learning with a temporally coherent mixed-representation." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/representation-learning-with-a-temporally-coherent-mixedrepresentation(ba48bd9e-80ed-4d37-b743-cb149bc498ee).html.

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Guiding a representation towards capturing temporally coherent aspects present invideo improves object identity encoding. Existing models apply temporal coherenceuniformly over all features based on the assumption that optimal encoding of objectidentity only requires temporally stable components. We test the validity of this assumptionby exploring the effects of applying a mixture of temporally coherent invariantfeatures, alongside variable features, in a single 'mixed' representation. Applyingtemporal coherence to different proportions of the available features, we evaluate arange of models on a supervised object classification task. This series of experimentswas tested on three video datasets, each with a different complexity of object shape andmotion. We also investigated whether a mixed-representation improves the capture ofinformation components associated with object position, alongside object identity, ina single representation. Tests were initially applied using a single layer autoencoderas a test bed, followed by subsequent tests investigating whether similar behaviouroccurred in the more abstract features learned by a deep network. A representationapplying temporal coherence in some fashion produced the best results in all tests,on both single layered and deep networks. The majority of tests favoured a mixed representation,especially in cases where the quantity of labelled data available to thesupervised task was plentiful. This work is the first time a mixed-representation hasbeen investigated, and demonstrates its use as a method for representation learning.
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Hopkins, Robert David. "Pictorial representation." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.309099.

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Albahari, Steven W. "Photographic representation." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/71053.

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Thesis (M.S.V.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1986.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND ROTCH.
Bibliography: leaves 51-52.
by Steven W. Albahari.
M.S.V.S.
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Books on the topic "Representation"

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Ian, Shapiro, ed. Political representation. New York: Cambridge University Press, 2009.

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Stuart, Hall, and Open University, eds. Representation: Cultural representations and signifying practices. London: Sage in association with the Open University, 1997.

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Grady, Robert C. Restoring real representation. Urbana: University of Illinois Press, 1993.

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Illinois. Local Labor Relations Board. Representation. Springfield, Ill.]: Office of the Illinois State & Local Labor Relations Boards, 1987.

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1906-, Pennock J. Roland, Chapman John William 1923-, and Pennock J. Roland 1906-, eds. Representation. New Brunswick, N.J: Aldine Transaction, 2007.

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Hafedh, Ben Salah, and Roussillon Henry, eds. La représentation des intérêts professionnels en Tunisie. Toulouse: Presses de l'Institut d'études politiques de Toulouse, 1995.

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Nina, Bulhof Ilse, and Welten Ruud 1962-, eds. Verloren presenties: Over de representatiecrisis in religie, kunst, media en politiek. Kampen: Kok Agora, 1996.

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Peter, Paschke, ed. Die moderne politische Repräsentation: Entstehung und Krise des Begriffs. Berlin: Duncker & Humblot, 2006.

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Valenza, Vittorio. In difesa del proporzionale: Riforme e controriforme elettorali tra cronaca e storia. Milano: M & B Publishing, 1997.

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Milner, Henry. first past the post?: Progress report on electoral reform initiatives in Canadian provinces. Montreal, Que: IRPP, 2004.

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Book chapters on the topic "Representation"

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tom Dieck, Tammo. "Representation Forms and Homotopy Representations." In Surgery Theory and Geometry of Representations, 1–79. Basel: Birkhäuser Basel, 1988. http://dx.doi.org/10.1007/978-3-0348-9167-7_1.

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Kemp, Tom. "Representation and Post-Representational Politics." In Activism and the Detention of Migrants, 71–106. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003185864-4.

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Murty, M. Narasimha, and V. Susheela Devi. "Representation." In Undergraduate Topics in Computer Science, 7–47. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-495-1_2.

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Hvidtfeldt, Rolf. "Representation." In The Structure of Interdisciplinary Science, 111–42. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90872-4_5.

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"Representative Representation." In Queer Beauty, 83–98. Columbia University Press, 2010. http://dx.doi.org/10.7312/davi14690-003.

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"Representation, representative democracy and representative government." In Representation, 8–27. Routledge, 2005. http://dx.doi.org/10.4324/9780203978429-6.

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"Representative of representation." In Lacan Reframed. I.B.Tauris, 2008. http://dx.doi.org/10.5040/9780755696505.ch-006.

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"R Repleteness; Representation/Non-representation; Representational Force." In An Anthropological Toolkit, 103–6. Berghahn Books, 2022. http://dx.doi.org/10.1515/9781800734715-018.

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Egan, Frances. "A Deflationary Account of Mental Representation." In What are Mental Representations?, 26–53. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190686673.003.0002.

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Among the cognitive capacities of evolved creatures is the capacity to represent. Theories in cognitive neuroscience typically explain our manifest representational capacities by positing internal representations, but there is little agreement about how these representations function, especially with the relatively recent proliferation of connectionist, dynamical, embodied, enactive, and Bayesian approaches to cognition. This paper sketches an account of the nature and function of representation in cognitive neuroscience that couples a realist construal of representational vehicles with a pragmatic account of representational content. The resulting package is called a deflationary account of mental representation, and the chapter argues that it avoids the problems that afflict competing accounts.
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"Representations and Representation Systems." In Learning Within Artificial Worlds, 51–58. Routledge, 2013. http://dx.doi.org/10.4324/9781315827766-14.

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Conference papers on the topic "Representation"

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Li, Jianping. "Learning Hybrid Extraction and Distillation using Phenomena-based String Representation." In Foundations of Computer-Aided Process Design, 300–307. Hamilton, Canada: PSE Press, 2024. http://dx.doi.org/10.69997/sct.171879.

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We present a string representation for hybrid extraction and distillation using symbols representing phenomena building blocks. Unlike the conventional equipment-based string representation, the proposed representation captures the design details of liquid-liquid extraction and distillation. We generate a set of samples through the procedure of input parameter sampling and superstructure optimization that minimizes separation cost. We convert these generated samples into a set of string representations based on pre-defined rules. We use these string representations as descriptors and connect them with conditional variational encoder. The trained conditional variational encoder shows good prediction accuracy. We further use the trained conditional variational encoder to screen designs of hybrid extraction and distillation with desired cost investment.
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Qian, Sheng, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu, and Hau San Wong. "Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/453.

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Autoencoders enjoy a remarkable ability to learn data representations. Research on autoencoders shows that the effectiveness of data interpolation can reflect the performance of representation learning. However, existing interpolation methods in autoencoders do not have enough capability of traversing a possible region between two datapoints on a data manifold, and the distribution of interpolated latent representations is not considered.To address these issues, we aim to fully exert the potential of data interpolation and further improve representation learning in autoencoders. Specifically, we propose the multidimensional interpolation to increase the capability of data interpolation by randomly setting interpolation coefficients for each dimension of latent representations. In addition, we regularize autoencoders in both the latent and the data spaces by imposing a prior on latent representations in the Maximum Mean Discrepancy (MMD) framework and encouraging generated datapoints to be realistic in the Generative Adversarial Network (GAN) framework. Compared to representative models, our proposed model has empirically shown that representation learning exhibits better performance on downstream tasks on multiple benchmarks.
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Chandrasekhar, B. M., V. S. Babu, and S. S. Medasani. "Traffic sign representation using sparse-representations." In 2013 International Conference on Intelligent Systems and Signal Processing (ISSP). IEEE, 2013. http://dx.doi.org/10.1109/issp.2013.6526937.

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Ribeiro, Ailton, Murilo Guerreiro Arouca, Ana Maria Amorim, Maria Clara Pestana, and Vaninha Vieira. "Towards Inclusive Avatars: A Study on Self-Representation in Virtual Environments." In Simpósio Brasileiro de Sistemas Colaborativos. Sociedade Brasileira de Computação, 2024. http://dx.doi.org/10.5753/sbsc.2024.238056.

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Avatars, digital representations of users in virtual environments, play a central role online, especially in the emerging context of the Metaverse. The customization of avatars provides individuals with the capability to craft personalized depictions, yet the process of self-representation is intricately influenced by various factors, encompassing identity, self-expression, and contextual considerations. However, there are gaps in research on the inclusive representation of avatars. This study investigates self-representation through avatars in virtual environments. We collected data through an online questionnaire with 133 participants. The findings are promising and underscore the need to make avatars more inclusive and representative, promoting diversity in virtual environments.
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Xie, Ruobing, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. "Image-embodied Knowledge Representation Learning." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/438.

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Entity images could provide significant visual information for knowledge representation learning. Most conventional methods learn knowledge representations merely from structured triples, ignoring rich visual information extracted from entity images. In this paper, we propose a novel Image-embodied Knowledge Representation Learning model (IKRL), where knowledge representations are learned with both triple facts and images. More specifically, we first construct representations for all images of an entity with a neural image encoder. These image representations are then integrated into an aggregated image-based representation via an attention-based method. We evaluate our IKRL models on knowledge graph completion and triple classification. Experimental results demonstrate that our models outperform all baselines on both tasks, which indicates the significance of visual information for knowledge representations and the capability of our models in learning knowledge representations with images.
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Yan, Rong, Ailing Tang, and Ziyi Zhang. "Increasing Representative Ability for Topic Representation." In The 34th International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc., 2022. http://dx.doi.org/10.18293/seke2022-052.

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Bai, Yang, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, and Min Zhang. "RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/62.

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Text-based person search aims to retrieve the specified person images given a textual description. The key to tackling such a challenging task is to learn powerful multi-modal representations. Towards this, we propose a Relation and Sensitivity aware representation learning method (RaSa), including two novel tasks: Relation-Aware learning (RA) and Sensitivity-Aware learning (SA). For one thing, existing methods cluster representations of all positive pairs without distinction and overlook the noise problem caused by the weak positive pairs where the text and the paired image have noise correspondences, thus leading to overfitting learning. RA offsets the overfitting risk by introducing a novel positive relation detection task (i.e., learning to distinguish strong and weak positive pairs). For another thing, learning invariant representation under data augmentation (i.e., being insensitive to some transformations) is a general practice for improving representation's robustness in existing methods. Beyond that, we encourage the representation to perceive the sensitive transformation by SA (i.e., learning to detect the replaced words), thus promoting the representation's robustness. Experiments demonstrate that RaSa outperforms existing state-of-the-art methods by 6.94%, 4.45% and 15.35% in terms of Rank@1 on CUHK-PEDES, ICFG-PEDES and RSTPReid datasets, respectively. Code is available at: https://github.com/Flame-Chasers/RaSa.
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Li, Sheng, and Handong Zhao. "A Survey on Representation Learning for User Modeling." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/695.

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Artificial intelligent systems are changing every aspect of our daily life. In the past decades, numerous approaches have been developed to characterize user behavior, in order to deliver personalized experience to users in scenarios like online shopping or movie recommendation. This paper presents a comprehensive survey of recent advances in user modeling from the perspective of representation learning. In particular, we formulate user modeling as a process of learning latent representations for users. We discuss both the static and sequential representation learning methods for the purpose of user modeling, and review representative approaches in each category, such as matrix factorization, deep collaborative filtering, and recurrent neural networks. Both shallow and deep learning methods are reviewed and discussed. Finally, we conclude this survey and discuss a number of open research problems that would inspire further research in this field.
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Nozawa, Kento, and Issei Sato. "Evaluation Methods for Representation Learning: A Survey." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/776.

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Representation learning enables us to automatically extract generic feature representations from a dataset to solve another machine learning task. Recently, extracted feature representations by a representation learning algorithm and a simple predictor have exhibited state-of-the-art performance on several machine learning tasks. Despite its remarkable progress, there exist various ways to evaluate representation learning algorithms depending on the application because of the flexibility of representation learning. To understand the current applications of representation learning, we review evaluation methods of representation learning algorithms. On the basis of our evaluation survey, we also discuss the future direction of representation learning. The extended version, https://arxiv.org/abs/2204.08226, gives more detailed discussions and a survey on theoretical analyses.
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Wang, Pengyang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, and Kien Hua. "Exploiting Mutual Information for Substructure-aware Graph Representation Learning." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/472.

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In this paper, we design and evaluate a new substructure-aware Graph Representation Learning (GRL) approach. GRL aims to map graph structure information into low-dimensional representations. While extensive efforts have been made for modeling global and/or local structure information, GRL can be improved by substructure information. Some recent studies exploit adversarial learning to incorporate substructure awareness, but hindered by unstable convergence. This study will address the major research question: is there a better way to integrate substructure awareness into GRL? As subsets of the graph structure, interested substructures (i.e., subgraph) are unique and representative for differentiating graphs, leading to the high correlation between the representation of the graph-level structure and substructures. Since mutual information (MI) is to evaluate the mutual dependence between two variables, we develop a MI inducted substructure-aware GRL method. We decompose the GRL pipeline into two stages: (1) node-level, where we introduce to maximize MI between the original and learned representation by the intuition that the original and learned representation should be highly correlated; (2) graph-level, where we preserve substructures by maximizing MI between the graph-level structure and substructure representation. Finally, we present extensive experimental results to demonstrate the improved performances of our method with real-world data.
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Reports on the topic "Representation"

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Iaryczower, Matias, Sergio Montero, and Galileu Kim. Representation Failure. Cambridge, MA: National Bureau of Economic Research, April 2022. http://dx.doi.org/10.3386/w29965.

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Engelmann, Karsten G. Objective Force Representation. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada414207.

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McDonald, Michael James. Umbra's system representation. Office of Scientific and Technical Information (OSTI), July 2005. http://dx.doi.org/10.2172/958374.

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Thomson, M., B. Rosen, D. Stanley, G. Bajko, and A. Thomson. Relative Location Representation. RFC Editor, October 2013. http://dx.doi.org/10.17487/rfc7035.

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Kramer, Thomas R. A parser that converts a boundary representation into a features representation. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.88-3864.

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McGregor, Robert, and John Yen. The Knowledge Representation Project. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada211288.

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Yadav, S., R. Yavatkar, R. Pabbati, P. Ford, T. Moore, and S. Herzog. Identity Representation for RSVP. RFC Editor, January 2000. http://dx.doi.org/10.17487/rfc2752.

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Yadav, S., R. Yavatkar, R. Pabbati, P. Ford, T. Moore, S. Herzog, and R. Hess. Identity Representation for RSVP. RFC Editor, October 2001. http://dx.doi.org/10.17487/rfc3182.

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Perreault, S. xCard: vCard XML Representation. RFC Editor, August 2011. http://dx.doi.org/10.17487/rfc6351.

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Chen, Pehong, and Michael A. Harrison. Multiple Representation Document Development. Fort Belvoir, VA: Defense Technical Information Center, August 1987. http://dx.doi.org/10.21236/ada197369.

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