Search results for 'classification' (try it on Scholar)

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  1. Matt L. Drabek (2010). Interactive Classification and Practice in the Social Sciences. Poroi 6 (2):62-80.score: 18.0
    This paper examines the ways in which social scientific discourse and classification interact with the objects of social scientific investigation. I examine this interaction in the context of the traditional philosophical project of demarcating the social sciences from the natural sciences. I begin by reviewing Ian Hacking’s work on interactive classification and argue that there are additional forms of interaction that must be treated.
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  2. Jonathan Y. Tsou (2011). The Importance of History for Philosophy of Psychiatry: The Case of the DSM and Psychiatric Classification. Journal of the Philosophy of History 5 (3):446-470.score: 18.0
    Abstract Recently, some philosophers of psychiatry (viz., Rachel Cooper and Dominic Murphy) have analyzed the issue of psychiatric classification. This paper expands upon these analyses and seeks to demonstrate that a consideration of the history of the Diagnostic and Statistical Manual of Mental Disorders (DSM) can provide a rich and informative philosophical perspective for critically examining the issue of psychiatric classification. This case is intended to demonstrate the importance of history for philosophy of psychiatry, and more generally, the (...)
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  3. Ingetraut Dahlberg (2008). The Information Coding Classification (ICC): A Modern, Theory-Based Fully-Faceted, Universal System of Knowledge Fields. [REVIEW] Axiomathes 18 (2):161-176.score: 18.0
    Introduction into the structure, contents and specifications (especially the Systematifier) of the Information Coding Classification, developed in the seventies and used in many ways by the author and a few others following its publication in 1982. Its theoretical basis is explained consisting in (1) the Integrative Level Theory, following an evolutionary approach of ontical areas, and integrating also on each level the aspects contained in the sequence of the levels, (2) the distinction between categories of form and (...) of being, (3) the application of a feature of Systems Theory (namely the element position plan) and (4) the inclusion of a concept theory, distinguishing four kinds of relationships, originated by the kinds of characteristics (which are the elements of concepts to be derived from the statements on the properties of referents of concepts). Its special Subject Groups on each of its nine levels are outlined and the combinatory facilities at certain positions of the Systematifier are shown. Further elaboration and use have been suggested, be it only as a switching language between the six existing universal classification systems at present in use internationally. (shrink)
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  4. Brendan Clarke (2011). Causation and Melanoma Classification. Theoretical Medicine and Bioethics 32 (1):19-32.score: 18.0
    In this article, I begin by giving a brief history of melanoma causation. I then discuss the current manner in which malignant melanoma is classified. In general, these systems of classification do not take account of the manner of tumour causation. Instead, they are based on phenomenological features of the tumour, such as size, spread, and morphology. I go on to suggest that misclassification of melanoma is a major problem in clinical practice. I therefore outline an alternative means of (...)
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  5. Alexander A. Aarts, Cilia L. M. Witteman, Pierre M. Souren & Jos I. M. Egger (2012). Associations Between Psychologists' Thinking Styles and Accuracy on a Diagnostic Classification Task. Synthese 189 (S1):119-130.score: 18.0
    The present study investigated whether individual differences between psychologists in thinking styles are associated with accuracy in diagnostic classification. We asked novice and experienced clinicians to classify two clinical cases of clients with two co-occurring psychological disorders. No significant difference in diagnostic accuracy was found between the two groups, but when combining the data from novices and experienced psychologists accuracy was found to be negatively associated with certain decision making strategies and with a higher self-assessed ability and preference for (...)
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  6. Anand Kumar & Barry Smith (2007). The Ontology of Processes and Functions: A Study of the International Classification of Functioning, Disability and Health. In Sharing Knowledge through the ICF: 13th Annual North American WHO Collaborating Center Conference on the ICF, Niagara Falls, June 7, 2007. North American WHO Collaborating Center.score: 18.0
    The International Classification of Functioning, Disability and Health provides a classification of human bodily functions, which, while exhibiting non-conformance to many formal ontological principles, provides an insight into which basic functions such a classification should include. Its evaluation is an important first step towards such an adequate ontology of this domain. Presented at the 13th Annual North American WHO Collaborating Center Conference on the ICF, 2007.
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  7. Clare Beghtol (2008). From the Universe of Knowledge to the Universe of Concepts: The Structural Revolution in Classification for Information Retrieval. [REVIEW] Axiomathes 18 (2):131-144.score: 18.0
    During the twentieth century, bibliographic classification theory underwent a structural revolution. The first modern bibliographic classifications were top-down systems that started at the universe of knowledge and subdivided that universe downward to minute subclasses. After the invention of faceted classification by S.R. Ranganathan, the ideal was to build bottom-up classifications that started with the universe of concepts and built upward to larger and larger faceted classes. This ideal has not been achieved, and the two kinds of classification (...)
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  8. Brian Vickery (2008). Faceted Classification for the Web. Axiomathes 18 (2):145-160.score: 18.0
    The article describes the nature of a faceted classification, and its application in document retrieval. The kinds of facet used are illustrated. Procedures are then discussed for identifying facets in a subject field, populating the facets with individual subject terms, arranging these in helpful sequences, using the scheme to classify documents, and searching the resultant classified index, with particular reference to Internet search.
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  9. E. Francesconi & G. Peruginelli (2009). Integrated Access to Legal Literature Through Automated Semantic Classification. Artificial Intelligence and Law 17 (1):31-49.score: 18.0
    Access to legal information and, in particular, to legal literature is examined for the creation of a search and retrieval system for Italian legal literature. The design and implementation of services such as integrated access to a wide range of resources are described, with a particular focus on the importance of exploiting metadata assigned to disparate legal material. The integration of structured repositories and Web documents is the main purpose of the system: it is constructed on the basis of a (...)
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  10. Dirk Stemerding (1993). How to Make Oneself Nature's Spokesman? A Latourian Account of Classification in Eighteenth- and Early Nineteenth-Century Natural History. Biology and Philosophy 8 (2):193-223.score: 18.0
    Classification in eighteenth-century natural history was marked by a battle of systems. The Linnaean approach to classification was severely criticized by those naturalists who aspired to a truly natural system. But how to make oneself nature''s spokesman? In this article I seek to answer that question using the approach of the French anthropologist of science Bruno Latour in a discussion of the work of the French naturalists Buffon and Cuvier in the eighteenth and early nineteenth century. These naturalists (...)
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  11. Lara Kutschenko (2011). In Quest of 'Good' Medical Classification Systems. Medicine Studies 3 (1):53-70.score: 18.0
    Medical classification systems aim to provide a manageable taxonomy for sorting diagnoses into their proper classes. The question, this paper wants to critically examine, is how to correctly systematise diseases within classification systems that are applied in a variety of different settings. ICD and DSM , the two major classification systems in medicine and psychiatry, will be the main subjects of this paper; however, the arguments are not restricted to these classification systems but point out general (...)
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  12. Vladimir Kuznetsov (1997). On Triplet Classification of Concepts. Knowledge Organization 24 (3):163-175.score: 18.0
    The scheme for classifications of concepts is introduced. It has founded on the triplet model of concepts. In this model a concept is depicted by means of three kinds of knowledge: a concept base, a concept representing part and the linkage between them. The idea of triplet classifications of concepts is connected with a usage of various specifications of these knowledge kinds as classification criteria.
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  13. Vanda Broughton (2008). A Faceted Classification as the Basis of a Faceted Terminology: Conversion of a Classified Structure to Thesaurus Format in the Bliss Bibliographic Classification, 2nd Edition. [REVIEW] Axiomathes 18 (2):193-210.score: 18.0
    Facet analysis is an established methodology for building classifications and subject indexing systems, but has been less rigorously applied to thesauri. The process of creating a compatible thesaurus from the schedules of the Bliss Bibliographic Classification 2nd edition highlights the ways in which the conceptual relationships in a subject field are handled in the two types of retrieval languages. An underlying uniformity of theory is established, and the way in which software can manage the relationships is discussed. The manner (...)
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  14. Jonathan Y. Tsou (forthcoming). DSM-5 and Psychiatry's Second Revolution: Descriptive Vs. Theoretical Approaches to Psychiatric Classification. In Steeves Demazeux & Patrick Singy (eds.), The DSM-5 in Perspective: Philosophical Reflections on the Psychiatric Babel. Springer.score: 18.0
    A large part of the controversy surrounding the publication of DSM-5 stems from the possibility of replacing the purely descriptive approach to classification favored by the DSM since 1980. This paper examines the question of how mental disorders should be classified, focusing on the issue of whether the DSM should adopt a purely descriptive or theoretical approach. I argue that the DSM should replace its purely descriptive approach with a theoretical approach that integrates causal information into the DSM’s descriptive (...)
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  15. Klaus Petrus (1996). Naturgemässe Klassifikation Und Kontinuität Wissenschaft Und GeschichteNatural Classification and Continuity, Science and History. Some Reflections on Pierre Duhem. Journal for General Philosophy of Science 27 (2):307-323.score: 18.0
    Duhem is commonly held to have founded his view of history of science as continuous on the ‘metaphsical assertion’ of natural classification. With the help of a strict distinction between formal and material characterization of natural classification I try to show that this imputation is problematic, if not simply incorrect. My analysis opens alternative perspectives on Duhem's talk of continuity, the ideal form of theories, and the rôle of ‘bon sens’; moreover it emphasizes some aspects of Duhem's realism (...)
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  16. Bruce R. Gaumnitz & John C. Lere (2004). A Classification Scheme for Codes of Business Ethics. Journal of Business Ethics 49 (4):329-335.score: 18.0
    A great deal of interest in codes of ethics exists in both the business community and the academic community. Within the academic community, this interest has given rise to a number of studies of codes of ethics. Many of these studies have focused on the content of various codes.One important way the study of codes of ethics can be advanced is by applying formal tools of analysis to codes of ethics. An understanding of important dimensions that may differ across codes (...)
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  17. Stella Vosniadou, Costas Pagondiotis & Maria Deliyianni (2005). “From the Pragmatics of Classification Systems to the Metaphysics of Concepts&Quot;. [REVIEW] Journal of the Learning Sciences 14 (1):115-125.score: 18.0
    Review of the books: -/- Jerry A. Fodor. Concepts: Where Cognitive Science went wrong. Oxford, UK: Oxford University Press, 1998, 174 pp., ISBN 0-19-823636-0. -/- Geoffrey C. Bowker and Susan Leigh Star. Sorting things out: Classification and its consequences. Cambridge, MA: The MIT Press, 1999, 377 pp., ISBN 0-262-02461-6.
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  18. Sándor Jenei & Franco Montagna (forthcoming). A Classification of Certain Group-Like FL_e-Chains. Synthese:1-27.score: 18.0
    Classification of certain group-like FL $_e$ -chains is given: We define absorbent-continuity of FL $_e$ -algebras, along with the notion of subreal chains, and classify absorbent-continuous, group-like FL $_e$ -algebras over subreal chains: The algebra is determined by its negative cone, and the negative cone can only be chosen from a certain subclass of BL-chains, namely, one with components which are either cancellative (that is, those components are negative cones of totally ordered Abelian groups) or two-element MV-algebras, and with (...)
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  19. Douglas Walton (2008). Arguing From Definition to Verbal Classification: The Case of Redefining 'Planet' to Exclude Pluto. Informal Logic 28 (2):129-154.score: 18.0
    The recent redefinition of 'planet' that excludes Pluto as a planet led to controversy that provides a case study of how competing scientific definitions can be supported by characteristic types of evidence. An argumentation scheme from Hastings is used to analyze argument from verbal classification as a form of inference used in rational argumentation. The Toulmin-style format is compared to more recently developed ways of modeling such cases that stem from advances in argumentation technology in artificial intelligence. Using these (...)
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  20. Mark S. Cohen Ariana Anderson (2013). Decreased Small-World Functional Network Connectivity and Clustering Across Resting State Networks in Schizophrenia: An fMRI Classification Tutorial. Frontiers in Human Neuroscience 7.score: 18.0
    Functional network connectivity is a method of analyzing the temporal relationship of anatomical brain components, comparing the synchronicity between patient groups or conditions. We use functional-connectivity measures between independent components to classify between Schizophrenia patients and healthy controls during resting-state. Connectivity is measured using a variety of graph-theoretic connectivity measures such as graph density, average path length, and small-worldness. The Schizophrenia patients showed significantly less clustering (transitivity) among components than healthy controls (p<.05, corrected) with networks less likely to be connected, (...)
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  21. Ademola K. Braimoh (2002). Integrating Indigenous Knowledge and Soil Science to Develop a National Soil Classification System for Nigeria. Agriculture and Human Values 19 (1):75-80.score: 18.0
    The absence of a national soilclassification system for Nigeria hinderssuccessful agrotechnology transfer inparticular, and agricultural development ingeneral. A discussion of the role of indigenousknowledge in agricultural development showsthat indigenous knowledge of the soil can beintegrated with modern soil science to developa soil classification system for the country.Much as local knowledge is invaluable foradvancing scientific knowledge and vice versa,caution is given against overestimating therole of indigenous knowledge in developmentalactivities. It is important to encourage theproper integration of all knowledge systems increating (...)
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  22. Jeffrey S. Anderson Jared A. Nielsen, Brandon A. Zielinski, P. Thomas Fletcher, Andrew L. Alexander, Nicholas Lange, Erin D. Bigler, Janet E. Lainhart (2013). Multisite Functional Connectivity MRI Classification of Autism: ABIDE Results. Frontiers in Human Neuroscience 7.score: 18.0
    Background: Systematic differences in functional connectivity MRI metrics have been consistently observed in autism, with predominantly decreased cortico-cortical connectivity. Previous attempts at single subject classification in high-functioning autism using whole brain point-to-point functional connectivity have yielded about 80% accurate classification of autism vs. control subjects across a wide age range. We attempted to replicate the method and results using the Autism Brain Imaging Data Exchange including resting state fMRI data obtained from 964 subjects and 16 separate international sites. (...)
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  23. Yury Viktor Kissin (2013). Natural Sciences: Definitions and Attempt at Classification. Cosmos and History: The Journal of Natural and Social Philosophy 9 (2):116-137.score: 18.0
    The article discusses the formal classification of natural sciences, which is based on several propositions: (a) natural sciences can be separated onto independent and dependent sciences based on the gnosiologic criterion and irreducibility criteria (principal and technical); (b) there are four independent sciences which form a hierarchy: physics ← chemistry ← terrestrial biology ← human psychology; (c) every independent science except for physics has already developed or will develop in the future a set of final paradigms formulated in the (...)
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  24. Martin Lages & Katarzyna Jaworska (2012). How Predictable Are “Spontaneous Decisions” and “Hidden Intentions”? Comparing Classification Results Based on Previous Responses with Multivariate Pattern Analysis of Fmri Bold Signals. Frontiers in Psychology 3.score: 18.0
    In two replication studies we examined response bias and sequential dependencies in binary decisions. We applied a linear classifier (SVM) to predict spontaneous decisions as well as hidden intentions from responses in preceding trials and achieve similar prediction accuracies as multivariate pattern classification of voxel activities in frontopolar cortex. We discuss implications of our findings and suggest a simple way to improve analyses of fMRI BOLD signals to contain effects of sequential dependencies between trials.
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  25. Katarzyna Jaworska Martin Lages (2012). How Predictable Are “Spontaneous Decisions” and “Hidden Intentions”? Comparing Classification Results Based on Previous Responses with Multivariate Pattern Analysis of Fmri Bold Signals. Frontiers in Psychology 3.score: 18.0
    In two replication studies we examined response bias and sequential dependencies in binary decisions. We applied a linear classifier (SVM) to predict spontaneous decisions as well as hidden intentions from responses in preceding trials and achieve similar prediction accuracies as multivariate pattern classification of voxel activities in frontopolar cortex. We discuss implications of our findings and suggest a simple way to improve analyses of fMRI BOLD signals to contain effects of sequential dependencies between trials.
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  26. Léo Varnet, Kenneth Knoblauch, Fanny Meunier & Michel Hoen (2013). Using Auditory Classification Images for the Identification of Fine Acoustic Cues Used in Speech Perception. Frontiers in Human Neuroscience 7:865.score: 18.0
    An essential step in understanding the processes underlying the general mechanism of perceptual categorization is to identify which portions of a physical stimulation modulate the behavior of our perceptual system. More specifically, in the context of speech comprehension, it is still a major open challenge to understand which information is used to categorize a speech stimulus as one phoneme or another, the auditory primitives relevant for the categorical perception of speech being still unknown. Here we propose to adapt technique relying (...)
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  27. Juan Botella, Huiling Huang & Manuel Suero (2013). Multinomial Tree Models for Assessing the Status of the Reference in Studies of the Accuracy of Tools for Binary Classification. Frontiers in Psychology 4.score: 18.0
    Studies that evaluate the accuracy of binary classification tools are needed. Such studies provide 2x2 cross-classifications of test outcomes and the categories according to an unquestionable reference (or gold standard). However, sometimes a suboptimal reliability reference is employed. Several methods have been proposed to deal with studies where the observations are cross-classified with an imperfect reference. These methods require that the status of the reference, as a gold standard or as an imperfect reference, is known. In this paper a (...)
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  28. Wei Du, Vince D. Calhoun, Hualiang Li, Sai Ma, Tom Eichele, Kent A. Kiehl, Godfrey D. Pearlson & Tulay Adali (2012). High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data. Frontiers in Human Neuroscience 6.score: 18.0
    We present a novel method to extract classification features from functional magnetic resonance imaging (fMRI) data collected at rest or during the performance of a task. By combining a two-level feature identification scheme with kernel principal component analysis (KPCA) and Fisher's linear discriminant analysis (FLD), we achieve high classification rates in discriminating healthy controls from patients with schizophrenia. Experimental results using leave-one-out cross-validation show that features extracted from the default mode network (DMN) lead to a classification accuracy (...)
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  29. Mark Scully, Blake Anderson, Terran Lane, Charles Gasparovic, Vince Magnotta, Wilmer Sibbitt, Carlos Roldan, Ron Kikinis & Henry Jeremy Bockholt (2010). An Automated Method for Segmenting White Matter Lesions Through Multi-Level Morphometric Feature Classification with Application to Lupus. Frontiers in Human Neuroscience 4:27.score: 18.0
    We demonstrate an automated, multi-level method to segment white matter brain lesions and apply it to lupus. The method makes use of local morphometric features based on multiple MR sequences, including T1-weighted, T2-weighted, and Fluid Attenuated Inversion Recovery. After preprocessing, including co-registration, brain extraction, bias correction, and intensity standardization, 49 features are calculated for each brain voxel based on local morphometry. At each level of segmentation a supervised classifier takes advantage of a different subset of the features to conservatively segment (...)
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  30. Roberto Festa (2007). Verisimilitude, Cross Classification and Prediction Logic. Approaching the Statistical Truth by Falsified Qualitative Theories. Mind and Society 6 (1):91-114.score: 15.0
    In this paper it is argued that qualitative theories (Q-theories) can be used to describe the statistical structure of cross classified populations and that the notion of verisimilitude provides an appropriate tool for measuring the statistical adequacy of Q-theories. First of all, a short outline of the post-Popperian approaches to verisimilitude and of the related verisimilitudinarian non-falsificationist methodologies (VNF-methodologies) is given. Secondly, the notion of Q-theory is explicated, and the qualitative verisimilitude of Q-theories is defined. Afterwards, appropriate measures for the (...)
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  31. Peter Zachar (2006). The Classification of Emotion and Scientific Realism. Journal of Theoretical and Philosophical Psychology 26 (1-2):120-138.score: 15.0
  32. John Campbell (2006). Does Visual Reference Depend on Sortal Classification? Reply to Clark. Philosophical Studies 127 (2):221-237.score: 15.0
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  33. Elizabeth H. Flanagan (2000). Essentialism and a Folk-Taxonomic Approach to the Classification of Psychopathology. Philosophy, Psychiatry, and Psychology 7 (3):183-189.score: 15.0
  34. Kamal Dahbur & Thomas Muscarello (2003). Classification System for Serial Criminal Patterns. Artificial Intelligence and Law 11 (4):251-269.score: 15.0
    The data mining field in computer science specializes in extracting implicit information that is distributed across the stored data records and/or exists as associations among groups of records. Criminal databases contain information on the crimes themselves, the offenders, the victims as well as the vehicles that were involved in the crime. Among these records lie groups of crimes that can be attributed to serial criminals who are responsible for multiple criminal offenses and usually exhibit patterns in their operations, by specializing (...)
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  35. Lennart Nordenfelt (2013). Identification and Classification of Diseases: Fundamental Problems in Medical Ontology and Epistemology. Studia Philosophica Estonica 6 (2):6-21.score: 15.0
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  36. Zhongwei Wu (2007). The Mind as the Essence of Words: A Linguistic Philosophical Analysis of the Classification Teaching of Yongming Yanshou. [REVIEW] Frontiers of Philosophy in China 2 (3):336-344.score: 15.0
    Along with the Chan’s “linguistic turn”, the significance of sutras, which were despised and even regarded as the obstacle to complete enlightenment, became accepted by the Chan. Due to Yanshou’s contributions, the principle that emphasized the diversity of teaching in terms of the relationship between meaning and expression in the Sui and Tang Dynasties has been changed into a system which stressed the importance of the root/branches relationship of the mind and words. According to Yanshou, the conflict between the Chan (...)
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  37. Mokhtar Ben Henda & Henri Hudrisier (2013). Penser, Classer, Apprendre Et Communiquer. Normalisation Et Nouveaux Modes de Classification du Savoir. Hermès 66:, [ p.].score: 15.0
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  38. Anne Cordier & Karel Soumagnac (2013). Le Renforcement de l'Esprit Classificatoire ? Le Positionnement des Professionnels Dans la Formation aux Outils de Classification. Hermès 66:, [ p.].score: 15.0
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  39. Vladimir Kanovei (1998). Ulm Classification of Analytic Equivalence Relations in Generic Universes. Mathematical Logic Quarterly 44 (3):287-303.score: 15.0
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  40. Bert Baumgaertner (2013). Smooth Yet Discrete: Modeling Both Non-Transitivity and the Smoothness of Graded Categories With Discrete Classification Rules. [REVIEW] Minds and Machines:1-18.score: 15.0
    Many of our categorization experiences are non-transitive. For some objects a, b and c, a and b can appear indistinguishable, and likewise b and c, but a and c can appear distinguishable. Many categories also appear to be smooth; transitions between cases are not experienced as sharp, but rather as continuous. These two features of our categorization experiences tend to be addressed separately. Moreover, many views model smoothness by making use of infinite degrees. This paper presents a methodological strategy that (...)
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  41. Mehdi Khashei, Mohammad Taghi Rezvan, Ali Zeinal Hamadani & Mehdi Bijari (2013). A Bi‐Level Neural‐Based Fuzzy Classification Approach for Credit Scoring Problems. Complexity 18 (6):46-57.score: 15.0
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  42. Fumiko Hoeft Signe Bray, Catie Chang (2009). Applications of Multivariate Pattern Classification Analyses in Developmental Neuroimaging of Healthy and Clinical Populations. Frontiers in Human Neuroscience 3.score: 15.0
    Analyses of functional and structural imaging data typically involve testing hypotheses at each voxel in the brain. However, it is often the case that distributed spatial patterns may be a more appropriate metric for discriminating between conditions or groups. Multivariate pattern analysis has been gaining traction in neuroimaging of adult healthy and clinical populations; studies have shown that information present in neuroimaging data can be used to decode intentions and perceptual states, as well as discriminate between healthy and diseased brains. (...)
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  43. R. Randolph Blake, Robert Fox & Joseph S. Lappin (1970). Invariance in the Reaction Time Classification of Same and Different Letter Pairs. Journal of Experimental Psychology 85 (1):133.score: 15.0
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  44. Stephen F. Checkosky (1971). Speeded Classification of Multidimensional Stimuli. Journal of Experimental Psychology 87 (3):383-388.score: 15.0
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  45. Homa Donald, Cross Joseph, Cornell Don, Goldman David & Shwartz Steven (1973). Prototype Abstraction and Classification of New Instances as a Function of Number of Instances Defining the Prototype. Journal of Experimental Psychology 101 (1):116.score: 15.0
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  46. Douglas M. Kline (2010). Two‐Group Classification Using the Bayesian Data Reduction Algorithm. Complexity 15 (3):43-49.score: 15.0
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  47. Debora Mantovani (2011). Italian or Foreigner? Concerning Student Classification Criteria in Social Research. Polis 25 (1):65-98.score: 15.0
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  48. Neil Novik (1974). Parallel Processing in a Word-Nonword Classification Task. Journal of Experimental Psychology 102 (6):1015.score: 15.0
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  49. Cheryl Olman & Daniel Kersten (2004). Classification Objects, Ideal Observers & Generative Models. Cognitive Science 28 (2):227-239.score: 15.0
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  50. P. M. Rabbitt & S. M. Vyas (1974). Interference Between Binary Classification Judgments and Some Repetition Effects in a Serial Choice Reaction Time Task. Journal of Experimental Psychology 103 (6):1181.score: 15.0
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