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This volume consists of a collection of research articles on classical and emerging Statistical Paradigms parametric, non-parametric and;
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applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning;
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applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning;
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Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to;
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Statistical Geoinformatics for Human Environment Interface presents two paradigms for studying both space and interface with regard to;
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Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to;
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""subjectivist"" overviews. The science of statistical inference seeks to evaluate the credibility of scientific hypotheses given empirical data. This;
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""subjectivist"" overviews. The science of statistical inference seeks to evaluate the credibility of scientific hypotheses given empirical data. This;
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paradigms is demonstrated through selected applications. Overall, this book explains statistical parameters and knowledge representation models.;
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paradigms is demonstrated through selected applications. Overall, this book explains statistical parameters and knowledge representation models.;
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Eugene Charniak breaks new ground in artificial intelligence research by presenting statistical language processing from an artificial;
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Eugene Charniak breaks new ground in artificial intelligenceresearch by presenting statistical language processing from an artificial;
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thorough review of competing paradigms; a comparison of monitarist and structuralist approaches to the problem; mathematical and statistical;
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areas of learning in logic, relational learning, relational data mining, statistical relational learning, multi-relational data mining;
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statistical repertoires, experienced scholars looking to expand their own research, and eye-tracking professionals.;
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statistical repertoires, experienced scholars looking to expand their own research, and eye-tracking professionals.;
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in computer vision and image processing. This book is devoted to statistical inference in spatial statistics and is intended for specialists needing;
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Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to;
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Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to;
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and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth;
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Approximation capabilities of neural networks Semi-supervised learning Statistical relational learning Kernel methods for structured data Multiple;
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Software Paradigms provides the first complete compilation of software paradigms commonly used to de;...
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New Paradigms in Lyme Disease Treatment;...
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This book presents a new methodological analysis of two competing research paradigms of artificial i;...
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New Paradigms for Gender Inclusivity is een boek van Asha Kaul;...
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Paradigmatic Relations in Word Formation brings together contributions that aim to discuss the natur;...
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Within the field of psychology there is a proliferation of paradigms, theories, models, and dimensio;...
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