Download or read book Paired Associates Learning written by Albert E. Goss and published by Academic Press. This book was released on 2014-05-12 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Paired-Associates Learning: The Role of Meaningfulness, Similarity, and Familiarization focuses on the role of meaningfulness, similarity, and familiarization of stimuli in paired-associates (PA) learning. The book illustrates the problems, methods, findings, and theoretical implications of research findings. The book first offers information on scalings of meaningfulness, theoretical analyses, and meaningfulness in PA learning. Discussions focus on rationale and general objectives, designs of experiments, techniques, construction and use of lists, and overview and specific analyses. The text then examines similarity and familiarization, including scalings, effects of similarity on acquisition and backward recall, familiarization and transfer, and effects of familiarization. The manuscript ponders on meaning and association and summary, significance, and suggestions. Topics include theoretical analyses and significance of empirical findings and conclusions, acquired-distinctiveness training, number of and associations among elements, induction of meaning and meaningfulness, and response-mediated associations. The publication is a dependable reference for researchers interested in paired-associates learning.
Download or read book AFPTRC TN written by and published by . This book was released on 1957 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Preference Belief and Similarity written by Amos Tversky and published by MIT Press. This book was released on 2003-11-21 with total page 1046 pages. Available in PDF, EPUB and Kindle. Book excerpt: Amos Tversky (1937–1996), a towering figure in cognitive and mathematical psychology, devoted his professional life to the study of similarity, judgment, and decision making. He had a unique ability to master the technicalities of normative ideals and then to intuit and demonstrate experimentally their systematic violation due to the vagaries and consequences of human information processing. He created new areas of study and helped transform disciplines as varied as economics, law, medicine, political science, philosophy, and statistics. This book collects forty of Tversky's articles, selected by him in collaboration with the editor during the last months of Tversky's life. It is divided into three sections: Similarity, Judgment, and Preferences. The Preferences section is subdivided into Probabilistic Models of Choice, Choice under Risk and Uncertainty, and Contingent Preferences. Included are several articles written with his frequent collaborator, Nobel Prize-winning economist Daniel Kahneman.
Download or read book Stimulus Similarity and Sequence Interstimulus Interval and Learning Method in an Auditory Paired associate Task written by Joseph Robert Levine and published by . This book was released on 1964 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Measurement and Representation of Sensations written by Hans Colonius and published by Psychology Press. This book was released on 2013-05-13 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measurement and Representation of Sensations offers a glimpse into the most sophisticated current mathematical approaches to psychophysical problems. In this book, editors Hans Colonius and Ehtibar N. Dzhafarov, top scholars in the field, present a broad spectrum of innovative approaches and techniques to classical problems in psychophysics at different levels of stimulus complexity. The chapters emphasize rigorous mathematical constructions to define psychophysical concepts and relate them to observable phenomena. The techniques presented, both deterministic and probabilistic, are all original and recent. Subjects addressed throughout the six chapters of this volume include: *computing subjective distances from discriminability; *a new psychophysical theory of intensity judgments; *computing subjective distances from two discriminability functions; *an alternative to the model-building approach based on observable probabilities; and *possible forms of perceptual separability developed within a generalization of General Recognition Theory. Measurement and Representation of Sensations is a valuable text for both behavioral scientists and applied mathematicians.
Download or read book A Handbook of Small Data Sets written by David J. Hand and published by CRC Press. This book was released on 1993-11-01 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book should be of interest to statistics lecturers who want ready-made data sets complete with notes for teaching.
Download or read book The Conceptual Mind written by Eric Margolis and published by MIT Press. This book was released on 2015-05-08 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of concepts has advanced dramatically in recent years, with exciting new findings and theoretical developments. Core concepts have been investigated in greater depth and new lines of inquiry have blossomed, with researchers from an ever broader range of disciplines making important contributions. In this volume, leading philosophers and cognitive scientists offer original essays that present the state-of-the-art in the study of concepts. These essays, all commissioned for this book, do not merely present the usual surveys and overviews; rather, they offer the latest work on concepts by a diverse group of theorists as well as discussions of the ideas that should guide research over the next decade.
Download or read book Interactive and Dynamic Graphics for Data Analysis written by Dianne Cook and published by Springer Science & Business Media. This book was released on 2007-12-12 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods. The area of int- active and dynamic data visualization emerged within statistics as part of research on exploratory data analysis in the late 1960s, and it remains an active subject of research today, as its use in practice continues to grow. It now makes substantial contributions within computer science as well, as part of the growing ?elds of information visualization and data mining, especially visual data mining. The material in this book includes: • An introduction to data visualization, explaining how it di?ers from other types of visualization. • Adescriptionofourtoolboxofinteractiveanddynamicgraphicalmethods. • An approach for exploring missing values in data. • An explanation of the use of these tools in cluster analysis and supervised classi?cation. • An overview of additional material available on the web. • A description of the data used in the analyses and exercises. The book’s examples use the software R and GGobi. R (Ihaka & Gent- man 1996, RDevelopment CoreTeam2006) isafreesoftware environment for statistical computing and graphics; it is most often used from the command line, provides a wide variety of statistical methods, and includes high–quality staticgraphics.RaroseintheStatisticsDepartmentoftheUniversityofAu- land and is now developed and maintained by a global collaborative e?ort.
Download or read book Data Analysis Classification and the Forward Search written by Sergio Zani and published by Springer Science & Business Media. This book was released on 2007-08-06 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new developments in data analysis, classification and multivariate statistics, and in their algorithmic implementation. The volume offers contributions to the theory of clustering and discrimination, multidimensional data analysis, data mining, and robust statistics with a special emphasis on the novel Forward Search approach. Many papers provide significant insight in a wide range of fields of application. Customer satisfaction and service evaluation are two examples of such emerging fields.
Download or read book Classification as a Tool for Research written by Hermann Locarek-Junge and published by Springer Science & Business Media. This book was released on 2010-08-03 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.
Download or read book Technical Bulletin written by United States. Bureau of Naval Personnel and published by . This book was released on 1961 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book AFPTRC TR written by and published by . This book was released on 1958 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Assignment Methods in Combinational Data Analysis written by Lawrence Hubert and published by CRC Press. This book was released on 1986-09-29 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the first time in one text, this handy pedagogical reference presents comprehensive inference strategies for organizing disparate nonparametric statistics topics under one scheme, illustrating ways of analyzing data sets based on generic notions of proximity (of "closeness") between objects. Assignment Methods in Combinatorial Data Analysis specifically reviews both linear and quadratic assignment models ... covers extensions to multiple object sets and higher-order assignment indices ... considers methods of applying linear assignment models in common data analysis contexts ... discusses a second motion of assignment (or "matching") based upon pairs of objects ... explores confirmatory methods of augmenting multidimensional sealing, cluster analysis, and related techniques ... labels sections in order of priority for continuity and convenience ... and includes extensive bibliographies of related literature. Assignment Methods in Combinatorial Data Analysis gives authoritative coverage of statistical testing, and measures of association in a single source. It is required reading and an invaluable reference for researchers and graduate students in the behavioral and social sciences using quantitative methods of data representation. Book jacket.
Download or read book Multivariate Analysis written by Kanti V. Mardia and published by John Wiley & Sons. This book was released on 2024-06-10 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate Analysis Comprehensive Reference Work on Multivariate Analysis and its Applications The first edition of this book, by Mardia, Kent and Bibby, has been used globally for over 40 years. This second edition brings many topics up to date, with a special emphasis on recent developments. A wide range of material in multivariate analysis is covered, including the classical themes of multivariate normal theory, multivariate regression, inference, multidimensional scaling, factor analysis, cluster analysis and principal component analysis. The book also now covers modern developments such as graphical models, robust estimation, statistical learning, and high-dimensional methods. The book expertly blends theory and application, providing numerous worked examples and exercises at the end of each chapter. The reader is assumed to have a basic knowledge of mathematical statistics at an undergraduate level together with an elementary understanding of linear algebra. There are appendices which provide a background in matrix algebra, a summary of univariate statistics, a collection of statistical tables and a discussion of computational aspects. The work includes coverage of: Basic properties of random vectors, copulas, normal distribution theory, and estimation Hypothesis testing, multivariate regression, and analysis of variance Principal component analysis, factor analysis, and canonical correlation analysis Discriminant analysis, cluster analysis, and multidimensional scaling New advances and techniques, including supervised and unsupervised statistical learning, graphical models and regularization methods for high-dimensional data Although primarily designed as a textbook for final year undergraduates and postgraduate students in mathematics and statistics, the book will also be of interest to research workers and applied scientists.
Download or read book Theory and Applications of Relational Structures as Knowledge Instruments written by Harrie de Swart and published by Springer. This book was released on 2004-01-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Relational structures abound in our daily environment: relational databases, data mining, scaling procedures, preference relations, etc. As the documentation of scientific results achieved within the European COST Action 274, TARSKI, this book advances the understanding of relational structures and the use of relational methods in various application fields. The 12 revised full papers were carefully reviewed and selected for presentations. The papers are devoted to mechanization of relational reasoning, relational scaling and preferences, and algebraic and logical foundations of real world relations.
Download or read book The SAGE Handbook of Quantitative Methodology for the Social Sciences written by David Kaplan and published by SAGE. This book was released on 2004-06-21 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.
Download or read book Knowledge Representation written by Arthur B. Markman and published by Psychology Press. This book was released on 2013-06-17 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge representation is fundamental to the study of mind. All theories of psychological processing are rooted in assumptions about how information is stored. These assumptions, in turn, influence the explanatory power of theories. This book fills a gap in the existing literature by providing an overview of types of knowledge representation techniques and their use in cognitive models. Organized around types of representations, this book begins with a discussion of the foundations of knowledge representation, then presents discussions of different ways that knowledge representation has been used. Both symbolic and connectionist approaches to representation are discussed and a set of recommendations about the way representations should be used is presented. This work can be used as the basis for a course on knowledge representation or can be read independently. It will be useful to students of psychology as well as people in related disciplines--computer science, philosophy, anthropology, and linguistics--who want an introduction to techniques for knowledge representation.
