Дисертації з теми "Entities on the Web"
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Iofciu, Tereza [Verfasser]. "Users and entities on the web / Tereza Iofciu." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2013. http://d-nb.info/1035391759/34.
Повний текст джерелаUrbansky, David. "Automatic Extraction and Assessment of Entities from the Web." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-97469.
Повний текст джерелаAlsarem, Mazen. "Semantic snippets via query-biased ranking of linked data entities." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI044/document.
Повний текст джерелаIn this thesis, we introduce a new interactive artifact for the SERP: the "Semantic Snippet". Semantic Snippets rely on the coexistence of the two webs to facilitate the transfer of knowledge to the user thanks to a semantic contextualization of the user's information need. It makes apparent the relationships between the information need and the most relevant entities present in the web page
Demartini, Gianluca [Verfasser]. "From people to entities : typed search in the enterprise and the web / Gianluca Demartini." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2011. http://d-nb.info/1013472055/34.
Повний текст джерелаGunaratna, Kalpa. "Semantics-based Summarization of Entities in Knowledge Graphs." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1496124815009777.
Повний текст джерелаNakashole, Ndapandula T. [Verfasser], and Gerhard [Akademischer Betreuer] Weikum. "Automatic extraction of facts, relations, and entities for web-scale knowledge base population / Ndapandula T. Nakashole. Betreuer: Gerhard Weikum." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2013. http://d-nb.info/1052779654/34.
Повний текст джерелаGUDIVADA, RANGA CHANDRA. "DISCOVERY AND PRIORITIZATION OF BIOLOGICAL ENTITIES UNDERLYING COMPLEX DISORDERS BY PHENOME-GENOME NETWORK INTEGRATION." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195161740.
Повний текст джерелаFotsoh, Tawaofaing Armel. "Recherche d’entités nommées complexes sur le web : propositions pour l’extraction et pour le calcul de similarité." Thesis, Pau, 2018. http://www.theses.fr/2018PAUU3003/document.
Повний текст джерелаRecent developments in information technologies have made the web an important data source. However, the web content is very unstructured. Therefore, it is a difficult task to automatically process this web content in order to extract relevant information. This is a reason why research work related to Information Extraction (IE) on the web are growing very quickly. Similarly, another very explored research area is the querying of information extracted on the web to answer an information need. This other research area is known as Information Retrieval (IR). Our research work is at the crossroads of both areas. The main goal of our work is to develop strategies and techniques for crawling the web in order to extract complex Named Entities (NEs) (NEs with several properties that may be text or other NEs). We then propose to index them and to query them in order to answer information needs. This work was carried out within the T2I team of the LIUPPA laboratory, in collaboration with Cogniteev, a company which core business is focused on the analysis of web content. The issues we had to deal with were the extraction of complex NEs on the web and the development of IR services supplied by the extracted data. Our first contribution is related to complex NEs extraction from text content. For this contribution, we take into consideration several problems, in particular the noisy context characterizing some properties (the web page describing an event for example, may contain more than one dates: the event’s date and the date of ticket’s sales opening). For this particular problem, we introduce a block detection module that focuses property's extraction on relevant text blocks. Our experiments show an improvement of system’s performances. We also focused on address extraction where the main issue arises from the fact that there is not a standard way for writing addresses in general and on the web in particular. We therefore propose a pattern-based approach which uses some lexicons for extracting addresses from text, regardless of proprietary resources.Our second contribution deals with similarity computation between complex NEs. In the state of the art, this similarity computation is generally performed in two steps: (i) first, similarities between properties are calculated; (ii) then the obtained similarities are aggregated to compute the overall similarity. Our main proposals focuses on the second step. We propose three techniques for aggregating property’s similarities. The first two are based on the weighted sum of these property’s similarities (simple linear combination and logistic regression). The third technique however, uses decision trees for the aggregation. Finally, we also propose a last approach based on clustering and Salton vector model. This last approach evaluates the similarity at the complex NE level without computing property’s similarities. We also propose a similarity computation function between spatial EN, one represented by a point and the other by a polygon. This completes those of the state of the art
Urbansky, David [Verfasser], Alexander [Akademischer Betreuer] Schill, James [Akademischer Betreuer] Thom, and Michael [Akademischer Betreuer] Schroeder. "Automatic Extraction and Assessment of Entities from the Web / David Urbansky. Gutachter: Alexander Schill ; James Thom ; Michael Schroeder. Betreuer: Alexander Schill ; James Thom." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://d-nb.info/1068148233/34.
Повний текст джерелаWatanabe, Willian Massami. "Auxílio à leitura de textos em português facilitado: questões de acessibilidade." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22092010-164526/.
Повний текст джерелаThe large capacity of Web for providing information leads to multiple possibilities and opportunities for users. The development of high performance networks and ubiquitous devices allow users to retrieve content from any location and in different scenarios or situations they might face in their lives. Unfortunately the possibilities offered by the Web are not necessarily currently available to all. Individuals who do not have completely compliant software or hardware that are able to deal with the latest technologies, or have some kind of physical or cognitive disability, find it difficult to interact with web pages, depending on the page structure and the ways in which the content is made available. When specifically considering the cognitive disabilities, users classified as functionally illiterate face severe difficulties accessing web content. The heavy use of texts on interfaces design creates an accessibility barrier to those who cannot read fluently in their mother tongue due to both text length and linguistic complexity. In this context, this work aims at developing an assistive technologies that assists functionally illiterate users during their reading and understanding of websites textual content. These assistive technologies make use of natural language processing (NLP) techniques that maximize reading comprehension for users. The natural language techniques that this work uses are: syntactic simplification, automatic summarization, lexical elaboration and named entities recognition. The techniques are used with the goal of automatically adapting textual content available on the Web for users with low literacy levels. This work describes the accessibility characteristics incorporated into both resultant applications (Facilita and Educational Facilita) that focus on low literacy users limitations towards computer usage and experience. This work contributed with the identification of accessibility requirements for low-literacy users, elaboration of an accessibility model for automatizing WCAG conformance and development of accessible solutions in the user agents layer of web applications
Govind. "Entity-level Event Impact Analytics." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMC260/document.
Повний текст джерелаOur society has been rapidly growing its presence on the Web, as a consequence we are digitizing a large collection of our daily happenings. In this scenario, the Web receives virtual occurrences of various events corresponding to their real world occurrences from all around the world. Scale of these events can vary from locally relevant ones up to those that receive global attention. News and social media of current times provide all essential means to reach almost a global diffusion. This big data of complex societal events provide a platform to many research opportunities for analyzing and gaining insights into the state of our society.In this thesis, we investigate a variety of social event impact analytics tasks. Specifically, we address three facets in the context of events and the Web, namely, diffusion of events in foreign languages communities, automated classification of Web contents, and news virality assessment and visualization. We hypothesize that the named entities associated with an event or a Web content carry valuable semantic information, which can be exploited to build accurate prediction models. We have shown with the help of multiple studies that raising Web contents to the entity-level captures their core essence, and thus, provides a variety of benefits in achieving better performance in diverse tasks. We report novel findings over disparate tasks in an attempt to fulfill our overall goal on societal event impact analytics
Torbjörn, Holgersson, and Svärd Tommi. "Att odla fram ny teknik : Web of Things och tillsammansodling i friska vindar." Thesis, Blekinge Tekniska Högskola, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16403.
Повний текст джерелаAbstract Keywords: Web of Things, Community gardening, Things, Entity, Culture In this Bachelor thesis we go through how things can exist within different planes of our mind and further how technology within Web Of Things (WoT) can act as an entity within a phenomenon like Community gardening. The methods that was chosen for the survey of the phenomenon are Brainstorm, To move the border and The six thinkingcaps. This three methods are our main methods that was considered to be the best choice for our purpose while alternative methods like Kanban, Function analyses and an agile thinking was considered to be the extra structure our design needed to evolve. The methods to maintain this survey of the phenomenon has been consisted of different parts from the book Thoughtful interaction design written by Jonas Löwgren and Erik Stolterman where we extracted three parts from it where the parts was vision, operative image and specification in order to create our design (Löwgren & Stolterman, 2004). This three parts has been integrated in five different iterations in order to use the methods of choosing in different parts of the design. The result is manifested from the design processes five iterations and the support from earlier and current researches while the discussion is presented through four hypotheses we manifested from the work from earlier and current research papers, the four hypotheses are as followed. Hypothesis s one: The phenomenon Community gardening in urban environments with relations to Web of Things creates a thing that coexist within both the physical and psychological in the relationships of what is inside of the phenomenon. Hypothesis two: Community gardening is beneficial for sustainability and social encounters. Hypothesis three: Web Of Things is not just a physical thing but also a psychical and can exist in different planes of both mankind and machines. Hypothesis four: Web Of Things as social media can make the mankind want to integrate with Community gardening in urban environments and push changes in how humans and machine works together.
Morón, Urbina Juan Carlos. "Proyects by direct management and custom proyects: solution or problem? Should we restrict them?" IUS ET VERITAS, 2017. http://repositorio.pucp.edu.pe/index/handle/123456789/123196.
Повний текст джерелаEl autor realiza un análisis de la facultad que tienen, bajo ciertos supuestos, las entidades públicas para atender sus propias necesidades de bienes, servicios y obras sin necesidad de contratar con privados, sino recurriendo a la autoprovisión. El estudio realizado abarca las condiciones en las cuales las entidades pueden optar por esta alternativa, los límites que existen para ello y las consecuencias que traen para la eficacia de la gestión de la entidad. Además, el autor propone consideraciones que debería adoptar la legislación en la materia para un mayor control y verificación de las condiciones de eficacia.
Walker, Daniël Andreas. "Finansiële jaarstate van 'n universiteit ingevolge die Wet op Hoër Onderwys : 'n gevallestudie / Daniël Andreas Walker." Thesis, North-West University, 2007. http://hdl.handle.net/10394/1660.
Повний текст джерелаAlbertini, Margery Evelyn. "Entities." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1371222174.
Повний текст джерелаEr, Ngurah Agus Sanjaya. "Techniques avancées pour l'extraction d'information par l'exemple." Electronic Thesis or Diss., Paris, ENST, 2018. http://www.theses.fr/2018ENST0060.
Повний текст джерелаSearching for information on the Web is generally achieved by constructing a query from a set of keywords and firing it to a search engine. This traditional method requires the user to have a relatively good knowledge of the domain of the targeted information to come up with the correct keywords. The search results, in the form of Web pages, are ranked based on the relevancy of each Web page to the given keywords. For the same set of keywords, the Web pages returned by the search engine would be ranked differently depending on the user. Moreover, finding specific information such as a country and its capital city would require the user to browse through all the documents and reading its content manually. This is not only time consuming but also requires a great deal of effort. We address in this thesis an alternative method of searching for information, i.e. by giving examples of the information in question. First, we try to improve the accuracy of the search by example systems by expanding the given examples syntactically. Next, we use truth discovery paradigm to rank the returned query results. Finally, we investigate the possibility of expanding the examples semantically through labelling each group of elements of the examples
Ben, Abacha Asma. "Recherche de réponses précises à des questions médicales : le système de questions-réponses MEANS." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00735612.
Повний текст джерелаTeichmann, Roger. "Abstract entities." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315954.
Повний текст джерелаRebollo, Puig Manuel. "Disciplinary Liability of legal entities, entities without personality and administrators." IUS ET VERITAS, 2017. http://repositorio.pucp.edu.pe/index/handle/123456789/122924.
Повний текст джерелаLa responsabilidad sancionadora de las personas jurídicas, que acepta con normalidad el ordenamiento, no es una excepción a los principios de culpabilidad y de personalidad de las sanciones: se trata de una responsabilidad por acción y culpa propias de la persona jurídica. En especial, se analiza la responsabilidad de las personas jurídicas por la actuación de sus administradores. Y, asimismo, se estudian los supuestos en que el Derecho prevé ciertos complementos o matizaciones a esa responsabilidad. Sobre todo, los casos en los que se consagra laresponsabilidad sancionadora de los propios administradores. Se aborda también la responsabilidad de entes sin personalidad y se ponen de relieve las ventajas y dificultades que su aplicación entraña.
Rajadurai, Chandrasekar. "High Spin Entities." Phd thesis, [S.l. : s.n.], 2004. http://tuprints.ulb.tu-darmstadt.de/432/1/CHANDRU-THESIS.pdf.
Повний текст джерелаLiu, Kuo-Kang. "Deformation of cellular entities." Thesis, Imperial College London, 1995. http://hdl.handle.net/10044/1/8167.
Повний текст джерелаHou, Jean Fen-ju. "Clustering with obstacle entities." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0023/MQ51360.pdf.
Повний текст джерелаGarip-Kuebler, Aylin. "Rare anterior uveitis entities." Diss., Ludwig-Maximilians-Universität München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:19-167080.
Повний текст джерелаHadjiprocopis, Andreas. "Feed forward neural network entities." Thesis, City University London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340374.
Повний текст джерелаBrandao, Wladmir Cardoso. "Exploiting entities for query expansion." Universidade Federal de Minas Gerais, 2013. http://hdl.handle.net/1843/ESBF-9GMJW2.
Повний текст джерелаUma fração substancial de consultas submetidas às máquinas de busca na web fazem referência a entidades, como pessoas, organizações e locais. No presente trabalho, nós propomos abordagens orientadas a entidade para expansão de consulta que exploram aspectos semânticos em bases de conhecimento para derivar evidências discriminativas de termos e técnicas de aprendizagem de máquina, com o intuito de combinar de maneira efetiva as evidências a fim de se obter um ranking de termos candidatos para expansão. Particularmente, nossa abordagem supervisionada (UQEE) utiliza-se de evidências derivadas da estrutura semântica implícita em templates de infoboxes em artigos da Wikipedia, enquanto nossa abordagem de aprendizagem para ranking (L2EE) considera evidências semânticas derivadas do conteúdo de campos de artigos da Wikipedia para automaticamente rotular exemplos de treino proporcionalmente à efetividade observada na recuperação. Além disso, nós propomos uma abordagem auto-supervisionada para geração automática de infoboxes para artigos da Wikipedia (WAVE). Experimentos comprovam a efetividade de nossas abordagens, com ganhos significativos comparados às abordagens estado-da-arte em pseudo-relevance feedback (PRF) e PRF baseados em entidades.
Stewart, Bryan Christopher. "Mounting human entities to control and interact with networked ship entities in a virtual environment." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA308280.
Повний текст джерелаSchöps, Franziska, and Elin Persson. "Determinants of Voluntary Audit in Micro-Entities : A qualitative study of micro-entities in Skellefteå." Thesis, Umeå universitet, Handelshögskolan vid Umeå universitet, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-57791.
Повний текст джерелаBohlin, Therese. "Regular Inference for Communication Protocol Entities." Doctoral thesis, Uppsala universitet, Avdelningen för datorteknik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9559.
Повний текст джерелаSchindler, Samuel Karl. "The imaginary entities that make science." Thesis, University of Leeds, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491819.
Повний текст джерелаGatt, Albert. "Generating coherent references to multiple entities." Thesis, University of Aberdeen, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.445144.
Повний текст джерелаTomlinson, William Michael 1972. "Synthetic social relationships for computational entities." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8531.
Повний текст джерелаIncludes bibliographical references (p. 179-189).
Humans and many other animals form long term social relationships with each other. These relationships confer a variety of benefits upon us, both as individuals and as groups. Computational systems that can form social relationships like those formed by animals could reap many of the benefits of sociality, both within their own groups and in their interactions with people. This dissertation explores two main questions: *What kinds of internal and external representations are necessary for computational entities to form social relationships like those formed by animals? *How can people participate in and direct the relationships of these entities? To explore these questions, I designed and implemented a system by which computational entities may form simple social relationships. In particular, these synthetic social relationships are modeled after the social behavior of the gray wolf (Canis lupus). The system comprises a novel combination of simple models of emotion, perception and learning in an emotional memory-based mechanism for social relationship formation. The system also includes supporting technologies through which people may participate in and direct the relationships. The system was presented as an interactive installation entitled AlphaWolf in the Emerging Technologies program at SIGGRAPH 2001. This installation featured a pack of six virtual wolves - three fully autonomous adults and three semi-autonomous pups whom people could direct by howling, growling, whining or barking into microphones.
(cont.) In addition to observing the interactions of several hundred SIGGRAPH participants, I performed two main evaluations of the AlphaWolf system - a 32-subject human user study and a set of simulations of resource exploitation among the virtual wolves. Results from these evaluations support the hypothesis that the AlphaWolf system enables the formation of social relationships among groups of computational entities and people, and that these relationships are beneficial to both the inter-machine interactions and the human-machine interactions in a variety of ways. This research represents one of many possible steps towards synthetic social relationships with the complexity of the relationships found in real wolves, let alone in humans. Much further work will be necessary to create entities who can fully engage us in our own social terms. The system presented here provides a basic scaffolding on which such entities may be built, including an implemented, real-time example; new ideas in directable characters and character-based interactive installations; a simple, ethologically plausible model of computational social relationships; and statistically significant support for these claims.
by William Michael Tomlinson, Jr.
Ph.D.
Marton, Gregory A. (Gregory Adam) 1977. "Sepia : semantic parsing for named entities." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/28336.
Повний текст джерелаIncludes bibliographical references (p. 123-129).
People's names, dates, locations, organizations, and various numeric expressions, collectively called Named Entities, are used to convey specific meanings to humans in the same way that identifiers and constants convey meaning to a computer language interpreter. Natural Language Question Answering can benefit from understanding the meaning of these expressions because answers in a text are often phrased differently from questions and from each other. For example, "9/11" might mean the same as "September 11th" and "Mayor Rudy Giuliani" might be the same person as "Rudolph Giuliani". Sepia, the system presented here, uses a lexicon of lambda expressions and a mildly context-sensitive parser to create a data structure for each named entity. The parser and grammar design are inspired by Combinatory Categorial Grammar. The data structures are designed to capture semantic dependencies using common syntactic forms. Sepia differs from other natural language parsers in that it does not use a pipeline architecture. As yet there is no statistical component in the architecture. To evaluate Sepia, I use examples tp illustrate its qualitative differences from other named entity systems, I measure component performance on Automatic Content Extraction (ACE) competition held-out training data. and I assess end-to-end performance in the Infolab's TREC-12 Question Answering competition entry. Sepia will compete in the ACE Entity Detection and Tracking track at the end of September.
by Gregory A. Marton.
S.M.
Durrett, Gregory Christopher. "Identifying and Resolving Entities in Text." Thesis, University of California, Berkeley, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10192292.
Повний текст джерелаWhen automated systems attempt to deal with unstructured text, a key subproblem is identifying the relevant actors in that text---answering the "who" of the narrative being presented. This thesis is concerned with developing tools to solve this NLP subproblem, which we call entity analysis. We focus on two tasks in particular: first, coreference resolution, which consists of within-document identification of entities, and second, entity linking, which involves identifying each of those entities with an entry in a knowledge base like Wikipedia. One of the challenges of coreference is that it requires dealing with many different linguistic phenomenon: constraints in reference resolution arise from syntax, semantics, discourse, and pragmatics. This diversity of effects to handle makes it difficult to build effective learning-based coreference resolution systems rather than relying on handcrafted features. We show that a set of simple features inspecting surface lexical properties of a document is sufficient to capture a range of these effects, and that these can power an efficient, high-performing coreference system. Our analysis of our base coreference system shows that some examples can only be resolved successfully by exploiting world knowledge or deeper knowledge of semantics. Therefore, we turn to the task of entity linking and tackle it not in isolation, but instead jointly with coreference. By doing so, our coreference module can draw upon knowledge from a resource like Wikipedia, and our entity linking module can draw on information from multiple mentions of the entity we are attempting to resolve. Our joint model of these tasks, which additionally models semantic types of entities, gives strong performance across the board and shows that effectively exploiting these interactions is a natural way to build better NLP systems. Having developed these tools, we show that they can be useful for a downstream NLP task, namely automatic summarization. We develop an extractive and compressive automatic summarization system, and argue that one deficiency it has is its inability to use pronouns coherently in generated summaries, as we may have deleted content that contained a pronoun's antecedent. Our entity analysis machinery allows us to place constraints on summarization that guarantee pronoun interpretability: each pronoun must have a valid antecedent included in the summary or it must be expanded into a reference that makes sense in isolation. We see improvements in our system's ability to produce summaries with coherent pronouns, which suggests that deeper integration of various parts of the NLP stack promises to yield better systems for text understanding.
Li, Tianqi. "Efficient Algorithms to Compute Topological Entities." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1608256383277208.
Повний текст джерелаTran, Hung Viet. "Discovering entities' behavior through mining Twitter." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3545.
Повний текст джерелаDijxhoorn, Ernst. "International criminal justice, quasi-state entities and legitimacy : the impact of international criminal justice on quasi-state entities." Thesis, King's College London (University of London), 2014. https://kclpure.kcl.ac.uk/portal/en/theses/international-criminal-justice-quasistate-entities-and-legitimacy(64a3160c-8c50-4f1f-a691-1cccc68ae56d).html.
Повний текст джерелаDijxhoorn, Ernst Edward Alexander. "International criminal justice, quasi-state entities and legitimacy : the impact of international criminal justice on quasi-state entities." Thesis, King's College London (University of London), 2014. http://kclpure.kcl.ac.uk/portal/en/theses/international-criminal-justice-quasistate-entities-and-legitimacy(90132a7c-2fcb-4f16-a863-db536c6efe42).html.
Повний текст джерелаMorris, Harold Campbell. "Typogenetics : a logic of artificial propagating entities." Thesis, University of British Columbia, 1989. http://hdl.handle.net/2429/41447.
Повний текст джерелаArts, Faculty of
Philosophy, Department of
Graduate
Giliana, Tefo Godfrey. "The profitability of commercial state-owned entities." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/15633.
Повний текст джерелаSvirydzenka, Nadzeya. "Perceiving Groups as Entities : A Developmental Perspective." Thesis, University of Dundee, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.521671.
Повний текст джерелаBarnett, Sylvia. "What sorts of entities does grounding relate?" Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/what-sorts-of-entities-does-grounding-relate(32136295-522d-440f-84f0-3322a78e446b).html.
Повний текст джерелаLin, Justin 1979. "Personal Location Agents for Communicating Entities (PLACE)." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87268.
Повний текст джерелаAlet, Ferran (Alet I. Puig). "Finding important entities in continuous streaming data." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118027.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 65-67).
In many applications that involve processing high-dimensional data, it is important to identify a small set of entities that account for a significant fraction of detections. Rather than formalize this as a clustering problem, in which all detections must be grouped into hard or soft categories, we formalize it as an instance of the frequent items or heavy hitters problem, which finds groups of tightly clustered objects that have a high density in the feature space. We show that the heavy hitters formulation generates solutions that are more accurate and effective than the clustering formulation. In addition, we present a novel online algorithm for heavy hitters, called HAC, which addresses problems in continuous space, and demonstrate its effectiveness on real video and household domains.
by Ferran Alet.
S.M.
Paverd, Andrew James. "Enhancing communication privacy using trustworthy remote entities." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:66ce7364-9562-4441-957a-a940e4a50784.
Повний текст джерелаBaghdasaryan, Mikayel. "External Relations of Entities with Limited Recognition." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-194681.
Повний текст джерелаArmour, Quintin. "The role of named entities in text classification." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/26840.
Повний текст джерелаPark, Man-Woo. "Automated 3D vision-based tracking of construction entities." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45782.
Повний текст джерелаPappas, Vangelis. "Aristotle on the metaphysical status of mathematical entities." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/290080.
Повний текст джерелаSerra, Simone. "Background annotation of entities in Linked Data vocabularies." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-162758.
Повний текст джерелаPongsajapan, Robert. "Liminal entities identity, governance, and organizations in Twitter /." Connect to Electronic Thesis (CONTENTdm), 2009. http://worldcat.org/oclc/457179054/viewonline.
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