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Relevant bibliographies by topics / Two way classification

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Academic literature on the topic 'Two way classification'

Author: Grafiati

Published: 8 September 2023

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Journal articles on the topic "Two way classification"

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Balakrishnan, N., M. L. Tiku, and A. H. El Shaarawi. "Robust Univariate Two-Way Classification." Biometrical Journal 27, no. 2 (1985): 123–38. http://dx.doi.org/10.1002/bimj.4710270202.

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Singh, Vaishali, and Sanjay K. Dwivedi. "Two Way Question Classification in Higher Education Domain." International Journal of Modern Education and Computer Science 7, no. 9 (2015): 59–65. http://dx.doi.org/10.5815/ijmecs.2015.09.08.

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Celardo, Livia, and Martin G. Everett. "Network text analysis: A two-way classification approach." International Journal of Information Management 51 (April 2020): 102009. http://dx.doi.org/10.1016/j.ijinfomgt.2019.09.005.

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Lin, C. S., and G. Butler. "Cluster Analyses for Analyzing Two‐Way Classification Data." Agronomy Journal 82, no. 2 (1990): 344–48. http://dx.doi.org/10.2134/agronj1990.00021962008200020034x.

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Piepho, Hans-Peter. "Distribution-Free Tests for One-Way Homoscedasticity in a Two-Way Classification." Biometrics 53, no. 1 (1997): 340. http://dx.doi.org/10.2307/2533119.

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Qiao, Mu, and Jia Li. "Two-way Gaussian mixture models for high dimensional classification." Statistical Analysis and Data Mining: The ASA Data Science Journal 3, no. 4 (2010): 259–71. http://dx.doi.org/10.1002/sam.10082.

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Zhang, Qinghua, Deyou Xia, and Guoyin Wang. "Three-way decision model with two types of classification errors." Information Sciences 420 (December 2017): 431–53. http://dx.doi.org/10.1016/j.ins.2017.08.066.

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Wei, Laisheng, and Jiahua Chen. "Empirical Bayes estimation and its superiority for two-way classification model." Statistics & Probability Letters 63, no. 2 (2003): 165–75. http://dx.doi.org/10.1016/s0167-7152(03)00079-8.

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Brzeskwiniewicz, Henryk, and Wiesław Wagner. "Error Normality Testing in a Model of Two-Way Nested Classification." Biometrical Journal 36, no. 1 (1994): 87–94. http://dx.doi.org/10.1002/bimj.4710360112.

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Samadi, Hossein, Iman Aghayan, Amir Saman Abdollahzadeh Nasiri, Omid Rahmani, and Mehrzad Hasanvand. "Platoon-Based Assessment of Two-Way Two-Lane Roads Performance Measure: A Classification Method." Journal of Advanced Transportation 2023 (July 24, 2023): 1–13. http://dx.doi.org/10.1155/2023/5054427.

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Two-way two-lane roads have a significant impact on road transportation infrastructure. Platoon formation on two-lane roads is one of the factors that affect the quality of traffic flow on two-lane roads. More specifically, the creation of a platoon increases the density of vehicles and the number of overtaking maneuvers and decreases the traffic performance of two-lane roads. The present study made an effort to investigate the effect of the platoon characteristics on the traffic flow of vehicles on two-lane roads. Moreover, it strived to develop the nonlinear regression model with a new appro

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Dissertations / Theses on the topic "Two way classification"

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Kreikemeier, Udo, and Jens Wrona. "Two-Way Migration between Similiar Countries." Technische Universität Dresden, 2015. https://tud.qucosa.de/id/qucosa%3A29256.

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We develop a model to explain two-way migration of high-skilled individuals between countries that are similar in their economic characteristics. High-skilled migration results from the combination of workers whose abilities are private knowledge, and a production technology that gives incentives to firms for hiring workers of similar ability. In the presence of migration cost, high-skilled workers self-select into the group of migrants. The laissez-faire equilibrium features too much migration, explained by a negative migration externality. We also show that for sufficiently low levels of mig

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Papanicolaou, Catherine, Thanasis Triantafillou, Ioannis Papantoniou, and Christos Balioukos. "Strengthening of two-way reinforced concrete slabs with Textile Reinforced Mortars (TRM)." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1244048746186-75760.

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An innovative strengthening technique is applied for the first time in this study to provide flexural strengthening in two-way reinforced concrete (RC) slabs supported on edge beams. The technique comprises external bonding of textiles on the tension face of RC slabs through the use of polymer-modified cement- based mortars. The textiles used in the experimental campaign comprised fabric meshes made of long stitch-bonded fibre rovings in two orthogonal directions. The specimens measured 2 x 2 m in plan and were supported on hinges at the corners. Three RC slabs strengthened by textile reinforc

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Pachler, Klaus, Thomas Frank, and Klaus Bernert. "Simulation of Unsteady Gas-Particle Flows including Two-way and Four-way Coupling on a MIMD Computer Architectur." Universitätsbibliothek Chemnitz, 2002. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200200352.

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The transport or the separation of solid particles or droplets suspended in a fluid flow is a common task in mechanical and process engineering. To improve machinery and physical processes (e.g. for coal combustion, reduction of NO_x and soot) an optimization of complex phenomena by simulation applying the fundamental conservation equations is required. Fluid-particle flows are characterized by the ratio of density of the two phases gamma=rho_P/rho_F, by the Stokes number St=tau_P/tau_F and by the loading in terms of void and mass fraction. Those numbers (Stokes number, gamma) define the f

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Richter, Johannes, Elke Franz, Sabrina Engelmann, Stefan Pfennig, and Eduard A. Jorswieck. "Physical Layer Security vs. Network Layer Secrecy: Who Wins on the Untrusted Two-Way Relay Channel?" Technische Universität Dresden, 2013. https://tud.qucosa.de/id/qucosa%3A28133.

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We consider the problem of secure communications in a Gaussian two-way relay network where two nodes exchange confidential messages only via an untrusted relay. The relay is assumed to be honest but curious, i.e., an eavesdropper that conforms to the system rules and applies the intended relaying scheme. We analyze the achievable secrecy rates by applying network coding on the physical layer or the network layer and compare the results in terms of complexity, overhead, and efficiency. Further, we discuss the advantages and disadvantages of the respective approaches.

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Holmes, Marilyn. "Community Engagement: Home School Partnership." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-80198.

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Five year old children starting their formal education in primary schools bring with them a range of informal mathematical understandings. Transitioning from an early childhood setting to the reception class at school can have a profound impact on their developing mathematical concepts. Traditionally their first teachers (parents, caregivers and whanau) gradually remove the support and encouragement and some of the familiar surroundings of their early childhood centres are no longer there. As children from 5 – 13 years of age spend approximately 85% of their time out of school it is important

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Lyon, Robert James. "Why are pulsars hard to find?" Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/why-are-pulsars-hard-to-find(f15226ec-355d-4794-b2b8-e0a8e793948e).html.

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Searches for pulsars during the past fifty years, have been characterised by two problems making their discovery difficult: i) an increasing volume of data to be searched, and ii) an increasing number of `candidate' pulsar detections arising from that data, requiring analysis. Whilst almost all are caused by noise or interference, these are often indistinguishable from real pulsar detections. Deciding which candidates should be studied is therefore difficult. Indeed it has become known as the `candidate selection problem'. This thesis presents an interdisciplinary study of the selection proble

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Reumann, Andreas, and Friedrich Thießen. "Why are employment figures in airport studies too high?" Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-153384.

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Luftverkehrsprognosen stellen ein wichtiges Instrument dar, die Luftverkehrsinfrastruktur zu beeinflussen. Hinter vielen der Projekte, die von Luftverkehrsprognosen begleitet werden, stehen Interessen. Dies gilt insbesondere für Ausbauvorhaben von Flughäfen, die von eindeutigen Zielen und Wünschen getragen werden. Die Gutachter, die im Rahmen solcher Ausbauvorhaben tätig werden, sind der Gefahr ausgesetzt, beeinflusste Prognosen zu erstellen. Die Art und Intensität dieser Beeinflussung sowie die Methodik dieser Analysen sind Gegenstand dieses Aufsatzes. Zunächst wurden neuere Ergebnisse der OE

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Müller, Philipp, Ronny Grünker, Volodymyr Bon, et al. "Topological control of 3,4-connected frameworks based on the Cu2-paddle-wheel node: tbo or pto, and why?" Royal Society of Chemistry, 2016. https://tud.qucosa.de/id/qucosa%3A30235.

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Two trigonal tritopic ligands with different conformational degree of freedom: conformationally labile H3tcbpa (tris((4-carboxyl)phenylduryl)amine) and conformationally obstructed H3hmbqa (4,4′,4′′-(4,4,8,8,12,12-hexamethyl-8,12-dihydro-4H-benzo[9,1]quino-lizino[3,4,5,6,7-defg]acridine-2,6,10-triyl)tribenzoic acid) are assembled with square-planar paddle-wheel nodes with the aim of selective engineering of the frameworks with tbo and pto underlying net topologies. In the case of H3tcbpa, both topological types were obtained forming non-interpenetrated MOFs namely DUT-63 (tbo) and DUT-64 (pto).

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Sattler, Tatjana, Eveline Wodak, and Friedrich Schmoll. "Evaluation of the specificity of a commercial ELISA for detection of antibodies against porcine respiratory and reproductive syndrome virus in individual oral fluid of pigs collected in two different ways." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-167323.

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Background: The monitoring of infectious diseases like the porcine reproductive and respiratory syndrome (PRRS) using pen-wise oral fluid samples becomes more and more established. The collection of individual oral fluid, which would be useful in the monitoring of PRRSV negative boar studs, is rather difficult. The aim of the study was to test two methods for individual oral fluid collection from pigs and to evaluate the specificity of a commercial ELISA for detection of PRRSV antibodies in these sample matrices. For this reason, 334 serum samples from PRRSV negative pigs (group 1) and 71 seru

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Prokop-Janiec, Eugenia. "A woman assimilationist and the Great War: The Case of Aniela Kallas." HATiKVA e.V. – Die Hoffnung Bildungs- und Begegnungsstätte für Jüdische Geschichte und Kultur Sachsen, 2016. https://slub.qucosa.de/id/qucosa%3A34824.

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Books on the topic "Two way classification"

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Len'kov, Roman. Social forecasting and planning. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1058988.

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The tutorial describes the preconditions of sociopragmatics research in Russia on the background of evolutionary processes of social prognostics of the twentieth century. Considered the essential characteristics of social forecasting, its subject and range of issues. Based on analysis of classification schemes methods of scientific forecasting offers the author's approach to classification of methods of social forecasting. Special attention is paid to the description of the characteristics, the specific application and selection procedure of the ways of making social predictions. Theoret

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Volkovitckaia, Galina. Management of labor incentives: Monograph. AUS PUBLISHERS, 2021. http://dx.doi.org/10.26526/monography_61c306c32b0054.44427921.

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The monograph is devoted to the problem of effective incentives for personnel as one of the most acute in the theory and practice of modern management. The paper considers the main stages of labor incentives , the specifics of personnel management from the standpoint of a motivational approach, suggests ways to assess the quality of incentive systems, analyzes the motivational structure of the employee's personality. The definitions, classifications, typologies and models proposed in the monograph can be used not only for educational and methodological

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Bagdasaryan, Vardan. Leadership. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1086964.

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The study of the course "Leadership" is associated with an increasing demand for the formation and disclosure of human leadership potentials. The presented textbook allows you to carry out this work in a targeted way. It summarizes and systematizes the world experience in the development of the theory and practice of leadership, discusses the classification of types of leaders, issues of practical use in leadership scenarios of personal qualities of a person, and offers a methodology for developing team strategies and team building. The distinctive features of the proposed program are its adap

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Arbustini, Eloisa, Valentina Favalli, Alessandro Di Toro, Alessandra Serio, and Jagat Narula. Classification of cardiomyopathies. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0348.

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For over 50 years, the definition and classification of cardiomyopathies have remained anchored in the concept of ventricular dysfunction and myocardial structural remodelling due to unknown cause. The concept of idiopathic was first challenged in 2006, when the American Heart Association classification subordinated the phenotype to the aetiology. Cardiomyopathies were classified as genetic, acquired, and mixed. In 2008, the European Society of Cardiology proposed a phenotype-driven classification that separated familial (genetic) from non-familial (non-genetic) forms of cardiomyopathy. Both c

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van Huyssteen, CW. Relating the South African soil taxonomy to the World Reference Base for soil resources. SunBonani Scholar, 2020. http://dx.doi.org/10.18820/9781928424666.

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The South African Taxonomic soil classification system (SAT) is well established and utilised in South Africa. However, it is not internationally well known and therefore the need arose to provide a tool by which South African soil taxonomists can convert South African soil classifications and profile descriptions to the international classifications of the World Reference Base (WRB) for soil resources. The diagnostics and tacit knowledge presented in this publication are therefore based on the SAT and the WRB. When necessary, further substantiation was derived from the Land Type Survey of Sou

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Giesen, Bernhard. Inbetweenness and Ambivalence. Edited by Jeffrey C. Alexander, Ronald N. Jacobs, and Philip Smith. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780195377767.013.30.

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This article focuses on the extraordinary space in between the opposites based on a paradigm in cultural sociology that conceives of ambivalence and inbetweenness as a fundamental and indissoluble given of classification and interpretation. More specifically, it considers something that transcends the sucessful ordering and splitting of the world into neat binaries, arguing that this inbetweenness is essential for the construction of culture. Reality does not provide any firm ground for neat classification. Therefore, in applying classifications to raw reality, there will always be an unclassi

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Button, Tim, and Sean Walsh. Classification and uncountable categoricity. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198790396.003.0017.

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The topic of this chapter is classification. We start by formulating a wholly general philosophical framework for understanding classification programs within mathematics, in which calculable invariants play an important role. We then consider the most famous classification program in contemporary model theory, due to Shelah, who has suggested that classification concerns identifying which theories do not have too many models. We critically compare these two different perspectives on classification— calculable mechanisms vs. not too many models. We close the chapter by discussing Zilber's ambi

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Catanzaro, Michael P., and Rachel J. Kwon. Hinchey Classification of Acute Diverticulitis. Edited by Rachel J. Kwon. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199384075.003.0048.

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This chapter provides a summary of a landmark historical study in surgery: the Hinchey classification of acute diverticulitis. It describes the history of the disease, gives a summary of the study including study design and results, and relates the study to a modern-day principle of evidence-based medicine: validation of scoring systems. Hinchey’s classification of diverticulitis has become the most widespread system and while the Hinchey score may currently have less clinical relevance as it did in his time, its publication and eventual adoption marked a practice-changing paradigm shift in th

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Muris, Peter. Classification and Diagnosis of Psychopathology. Edited by Thomas H. Ollendick, Susan W. White, and Bradley A. White. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190634841.013.4.

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This chapter deals with the classification and diagnosis of psychopathology in children and adolescents. An overview is given of the most prevalent mental health problems in youth that can be classified according to the Diagnostic and Statistical Manual of Mental Disorders (DSM). Methods are then described that can be employed to classify psychopathology in youth in terms of DSM nomenclature. Next, the pros and cons of the DSM classification system are discussed, after which a number of alternative ways that can be employed to classify psychopathology are addressed. These include the Research

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Simmons, K. Merinda. Identifying Race and Religion. Edited by Paul Harvey and Kathryn Gin Lum. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190221171.013.31.

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The common usage of “race” and “religion” in popular discourse makes overlooking the complicated histories of both terms easy to do. As a corrective to this simple oversight, this chapter examines the scholarly transitions that began to reintroduce race and religion as modern classifications rather than as universal phenomena that transcend specific societal contexts. Both terms underwent massive overhauls as recently as the eighteenth and nineteenth centuries, at the height of European imperial projects. Even more recently were the mid-twentieth century transitions that saw Religious Studies

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Book chapters on the topic "Two way classification"

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Sahai, Hardeo, and Mario Miguel Ojeda. "Two-Way Nested Classification." In Analysis of Variance for Random Models. Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8168-5_6.

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Sahai, Hardeo, and Mohammed I. Ageel. "Two-Way Nested (Hierarchical) Classification." In The Analysis of Variance. Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1344-4_6.

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Sahai, Hardeo, and Mario Miguel Ojeda. "Two-Way Crossed Classification without Interaction." In Analysis of Variance for Random Models. Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8168-5_3.

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Sahai, Hardeo, and Mario Miguel Ojeda. "Two-Way Crossed Classification with Interaction." In Analysis of Variance for Random Models. Birkhäuser Boston, 2004. http://dx.doi.org/10.1007/978-0-8176-8168-5_4.

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Sahai, Hardeo, and Mohammed I. Ageel. "Two-Way Crossed Classification Without Interaction." In The Analysis of Variance. Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1344-4_3.

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Sahai, Hardeo, and Mohammed I. Ageel. "Two-Way Crossed Classification with Interaction." In The Analysis of Variance. Birkhäuser Boston, 2000. http://dx.doi.org/10.1007/978-1-4612-1344-4_4.

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Chrobak, Marek, and Neal E. Young. "Classification via Two-Way Comparisons (Extended Abstract)." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-38906-1_19.

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Cutzu, Florin. "How to Do Multi-way Classification with Two-Way Classifiers." In Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44989-2_45.

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Chepoi, Victor, and Bernard Fichet. "A Note on Three-Way Dissimilarities and Their Relationship with Two-Way Dissimilarities." In Selected Contributions in Data Analysis and Classification. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73560-1_43.

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Vichi, Maurizio. "Discrete and Continuous Models for Two-way Data." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-55991-4_15.

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Conference papers on the topic "Two way classification"

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Ahmed, Houida, U. Bekbaev, and I. Rakhimov. "Complete classification of two-dimensional algebras." In THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES: Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society. Author(s), 2017. http://dx.doi.org/10.1063/1.4980965.

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Guendel, Ronny G. "Further Investigation of Two-Way Classification for Activities of Daily Living." In 2020 17th European Radar Conference (EuRAD). IEEE, 2021. http://dx.doi.org/10.1109/eurad48048.2021.00061.

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Moctezuma, Daniela, Víctor Muníz, and Jorge García. "Multimodal Data Evaluation for Classification Problems." In 7th International Conference on VLSI and Applications (VLSIA 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112105.

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Social media data is currently the main input to a wide variety of research works in many knowledge fields. This kind of data is generally multimodal, i.e., it contains different modalities of information such as text, images, video or audio, mainly. To deal with multimodal data to tackle a specific task could be very difficult. One of the main challenges is to find useful representations of the data, capable of capturing the subtle information that the users who generate that information provided, or even the way they use it. In this paper, we analysed the usage of two modalities of data, ima

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Listik, Clarice, Eduardo Listik, Jorge Dornellys Lapa, et al. "Classifying pain in dystonia: a way to improve pain outcome measure in dystonia." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.250.

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Background: Pain is a frequent and incapacitating non-motor symptom in dystonia. Evidence indicates that pain in dystonia is not only of muscular origin, but pain’s descending modulatory systems are impaired in dystonia. There is much to be learned about this topic. Still, we do not have a simple and straightforward way to classify, evaluate pain, and assess its improvement after pharmacological, surgical, and non-invasive treatments. Objective: To improve the classification system for pain in dystonia. Design and setting: This are the preliminary results of a multicentric study that at this m

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Yao, Yu-Ta, Yu-Wei Wu, and Po Ting Lin. "A Two-Stage Multi-Fidelity Design Optimization for K-mer-Based Pattern Recognition (KPR) in Image Processing." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22263.

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Abstract Pattern recognition has been widely used in various applications of image processing. It is used to extract meaningful image features from the given image samples and to build classification systems with the intelligence of human recognition. Convolutional Neural Network (CNN) [1] has been one of the most popular and widely used methods for image pattern recognition applications. However, CNN was known not to be rotation-invariant to image patterns. It usually required a larger amount of training image dataset with greater variations in positions and orientations, or additional numeri

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Xirouchakis, Paul C. "Production and Classification-Based Active Structural Design Databases." In ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/edm1995-0844.

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Abstract We consider the beam section design problem domain and its representation using the LOOM knowledge representation and reasoning database system. We use LOOM’s concept classification capabilities to built a taxonomy of terms describing the beam section design process. This allows LOOM to automatically classify concepts and instances of objects in the proper location in the taxonomy of terms. This classification-based reasoning is what distinguishes LOOM from other knowledge or object-oriented database systems. We also use LOOM’s two behavioral programming features: object-oriented and

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Li, Zheng, Yu Zhang, Ying Wei, Yuxiang Wu, and Qiang Yang. "End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification." In Twenty-Sixth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/311.

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Domain adaptation tasks such as cross-domain sentiment classification have raised much attention in recent years. Due to the domain discrepancy, a sentiment classifier trained in a source domain may not work well when directly applied to a target domain. Traditional methods need to manually select pivots, which behave in the same way for discriminative learning in both domains. Recently, deep learning methods have been proposed to learn a representation shared by domains. However, they lack the interpretability to directly identify the pivots. To address the problem, we introduce an end-to-end

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Zhang, Qian-Wen, Ximing Zhang, Zhao Yan, Ruifang Liu, Yunbo Cao, and Min-Ling Zhang. "Correlation-Guided Representation for Multi-Label Text Classification." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/463.

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Multi-label text classification is an essential task in natural language processing. Existing multi-label classification models generally consider labels as categorical variables and ignore the exploitation of label semantics. In this paper, we view the task as a correlation-guided text representation problem: an attention-based two-step framework is proposed to integrate text information and label semantics by jointly learning words and labels in the same space. In this way, we aim to capture high-order label-label correlations as well as context-label correlations. Specifically, the proposed

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Wang, Nan, Xibin Zhao, Yu Jiang, and Yue Gao. "Iterative Metric Learning for Imbalance Data Classification." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/389.

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In many classification applications, the amount of data from different categories usually vary significantly, such as software defect predication and medical diagnosis. Under such circumstances, it is essential to propose a proper method to solve the imbalance issue among the data. However, most of the existing methods mainly focus on improving the performance of classifiers rather than searching for an appropriate way to find an effective data space for classification. In this paper, we propose a method named Iterative Metric Learning (IML) to explore the correlations among imbalance data and

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Zhou, Qianrong, Xiaojie Wang, and Xuan Dong. "Differentiated Attentive Representation Learning for Sentence Classification." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/644.

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Attention-based models have shown to be effective in learning representations for sentence classification. They are typically equipped with multi-hop attention mechanism. However, existing multi-hop models still suffer from the problem of paying much attention to the most frequently noticed words, which might not be important to classify the current sentence. And there is a lack of explicitly effective way that helps the attention to be shifted out of a wrong part in the sentence. In this paper, we alleviate this problem by proposing a differentiated attentive learning model. It is composed of

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Reports on the topic "Two way classification"

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Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010891.

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A novel algorithmic framework for the robust detection and classification of machinery threats and other potentially harmful objects intruding onto a pipeline right-of-way (ROW) is designed from three perspectives: visibility improvement, context-based segmentation, and object recognition/classification. In the first part of the framework, an adaptive image enhancement algorithm is utilized to improve the visibility of aerial imagery to aid in threat detection. In this technique, a nonlinear transfer function is developed to enhance the processing of aerial imagery with extremely non-uniform l

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Oliver, Peter, and Gillian Robert. PR-420-183903-R01 Pipeline Right-of-Way River Crossing Monitoring With Satellites. Pipeline Research Council International, Inc. (PRCI), 2022. http://dx.doi.org/10.55274/r0012247.

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The goal of the work described herein is to provide PRCI and the pipeline industry further understanding of the current capabilities and limitations of combined SAR and high resolution optical satellite imagery for the monitoring of pipeline ROWs which span river crossings. Four Areas of Interests (AOIs) with pipeline ROWs that span river crossings were selected for analysis: South Saskatchewan River, Saskatchewan, Canada operated by SaskEnergy Incorporated; Thompson Creek, Louisiana, USA operated by Colonial Pipeline Company; Gila River, Arizona, USA operated by Kinder Morgan Incorporated; an

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Olivier, Jason, and Sally Shoop. Imagery classification for autonomous ground vehicle mobility in cold weather environments. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42425.

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Autonomous ground vehicle (AGV) research for military applications is important for developing ways to remove soldiers from harm’s way. Current AGV research tends toward operations in warm climates and this leaves the vehicle at risk of failing in cold climates. To ensure AGVs can fulfill a military vehicle’s role of being able to operate on- or off-road in all conditions, consideration needs to be given to terrain of all types to inform the on-board machine learning algorithms. This research aims to correlate real-time vehicle performance data with snow and ice surfaces derived from multispec

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti

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Ley, Matt, Tom Baldvins, David Jones, Hanna Pilkington, and Kelly Anderson. Vegetation classification and mapping: Gulf Islands National Seashore. National Park Service, 2023. http://dx.doi.org/10.36967/2299028.

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The Gulf Islands National Seashore (GUIS) vegetation inventory project classified and mapped vegetation on park-owned lands within the administrative boundary and estimated thematic map accuracy quantitatively. The project began in June 2016. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetin

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Glushko, E. Ya, and A. N. Stepanyuk. The multimode island kind photonic crystal resonator: states classification. SME Burlaka, 2017. http://dx.doi.org/10.31812/0564/1561.

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In this work, we consider a new calculation method to solve the eigenvalue problem for electromagnetic field in finite 2D structures including the modes distribution through the system. The field amplitude distribution is valuable if the signal energy inside the system should be transformed in most effective way. The method proposed for finite resonators operates with open boundary conditions that are important to account the electromagnetic field non-periodicity in a finite system.

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Cheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li, and Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.

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This research considers the detection, location, and classification of patches in concrete and asphalt-on-concrete pavements using data taken from ground penetrating radar (GPR) and the WayLink 3D Imaging System. In particular, the project seeks to develop a patching table for “inverted-T” patches. A number of deep neural net methods were investigated for patch detection from 3D elevation and image observation, but the success was inconclusive, partly because of a dearth of training data. Later, a method based on thresholding IRI values computed on a 12-foot window was used to localize pavemen

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Cheng, Peng, James V. Krogmeier, Mark R. Bell, Joshua Li, and Guangwei Yang. Detection and Classification of Concrete Patches by Integrating GPR and Surface Imaging. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317320.

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This research considers the detection, location, and classification of patches in concrete and asphalt-on-concrete pavements using data taken from ground penetrating radar (GPR) and the WayLink 3D Imaging System. In particular, the project seeks to develop a patching table for “inverted-T” patches. A number of deep neural net methods were investigated for patch detection from 3D elevation and image observation, but the success was inconclusive, partly because of a dearth of training data. Later, a method based on thresholding IRI values computed on a 12-foot window was used to localize pavemen

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Brown, Yolanda, Twonia Goyer, and Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.

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30 Day Hospital Readmission Rates, Frequencies, and Heart Failure Classification for Patients with Heart Failure Background Congestive heart failure (CHF) is the leading cause of mortality, morbidity, and disability worldwide among patients. Both the incidence and the prevalence of heart failure are age dependent and are relatively common in individuals 40 years of age and older. CHF is one of the leading causes of inpatient hospitalization readmission in the United States, with readmission rates remaining above the 20% goal within 30 days. The Center for Medicare and Medicaid Services imposes

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Farhi, Edward, and Hartmut Neven. Classification with Quantum Neural Networks on Near Term Processors. Web of Open Science, 2020. http://dx.doi.org/10.37686/qrl.v1i2.80.

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We introduce a quantum neural network, QNN, that can represent labeled data, classical or quantum, and be trained by supervised learning. The quantum circuit consists of a sequence of parameter dependent unitary transformations which acts on an input quantum state. For binary classification a single Pauli operator is measured on a designated readout qubit. The measured output is the quantum neural network’s predictor of the binary label of the input state. We show through classical simulation that parameters can be found that allow the QNN to learn to correctly distinguish the two data sets. W

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