statistical learning theory

Statistical Learning Theory

Come nuovo. Volume universitario sulla teoria statistica dell'autoapprendimento di Vapkin. Vendo causa errato acquisto. A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.

E-Learning Theory and Practice

ISBN: , SKU: , AUTHOR: Haythornthwaite, Caroline / Andrews, Richard, PUBLISHER: Sage Publications (CA), In" "E-learning Theory and Practice the authors set out different perspectives on e-learning. The book deals with the social implications of e-learning, its transformative effects, and the social and technical interplay that supports and directs e-learning. The authors present new perspectives on the subject by exploring the way teaching and learning are changing with the presence of the Internet and participatory media; providing a theoretical grounding in new learning practices from education, communication and information science; addressing e-learning in terms of existing learning theories, emerging online learning theories, new literacies, social networks, social worlds, community and virtual communities, and online resources; and emphasizing the impact of everyday electronic practices on learning, literacy and the classroom, locally and globally.This book is for everyone involved in e-learning including teachers, educators, graduate students and researchers.

Introduction to Statistical Limit Theory

ISBN: , SKU: , AUTHOR: NA, PUBLISHER: CRC Press, NA

Social Learning Theory and the Explanation of Crime

ISBN: , SKU: , AUTHOR: Akers, Ronald L. / Jensen, Gary F., PUBLISHER: Transaction Publishers, Social learning theory has been called the dominant theory of crime and delinquency in the United States, yet it is often misrepresented. This latest volume in the distinguished Advances in Criminological Theory series explores the impact of this theory. Some equate it with differential association theory. Others depict it as little more than a micro-level appendage to cultural deviance theories. There have been earlier attempts to clarify the theory's unique features in comparison to other theories, and others have applied it to broader issues. These efforts are extended in this volume, which focuses on developing, applying, and testing the theory on a variety of criminal and delinquent behavior. It applies the theory to treatment and prevention, moving social learning into a global context for the twenty-first century. This comprehensive volume includes the latest work, tests, and theoretical advances in social learning theory and will be particularly helpful to criminologists, sociologists, and psychologists. It may also be of interest to those concerned with current issues relating to delinquency, drug use/abuse, and drinking/alcohol abuse.

Algorithmic Learning Theory - Alt '92: Third Workshop, Alt

ISBN: , SKU: , AUTHOR: Doshita, Shuji / Furukawa, Koichi / Jantke, Klaus P., PUBLISHER: Springer, This volume contains the papers that were presented at the Third Workshop onAlgorithmic Learning Theory, held in Tokyo in October . In addition to 3invited papers, the volume contains 19 papers accepted for presentation, selected from 29 submitted extended abstracts. The ALT workshops have been held annually since and are organized and sponsored by the Japanese Society for Artificial Intelligence. The main objective of these workshops is to provide an open forum for discussions and exchanges of ideasbetween researchers from various backgrounds in this emerging, interdisciplinary field of learning theory. The volume is organized into parts on learning via query, neural networks, inductive inference, analogical reasoning, and approximate learning.

A Modern Course in Statistical Physics

ISBN: , SKU: , AUTHOR: Reichl, Linda E., PUBLISHER: Wiley-VCH Verlag GmbH, Going beyond traditional textbook topics, 'A Modern Course in Statistical Physics' incorporates contemporary research in a basic course on statistical mechanics. From the universal nature of matter to the latest results in the spectral properties of decay processes, this book emphasizes the theoretical foundations derived from thermodynamics and probability theory underlying all concepts in statistical physics. This completely revised and updated third edition continues the comprehensive coverage of numerous core topics and special applications, allowing professors flexibility in designing individualized courses. The inclusion of advanced topics and extensive references makes this an invaluable resource for researchers as well as students -- a textbook that will be kept on the shelf long after the course is completed.

Transformative Dimensions of Adult Learning

ISBN: , SKU: , AUTHOR: Mezirow, Jack / Mezirow, PUBLISHER: Jossey-Bass, "Transformative Dimensions of Adult Learning" describes the dynamics of how adults learn--and how their perceptions are transformed by learning--as a framework for formulating educational theory and practice. It presents an in-depth analysis of the ways in which adults learn, how they make meaning of the learning experience, and how their lives can be transformed by it.

String Theory Superstring theory and beyond

Polchinski Joseph, String Theory. Volume II° Superstring theory and beyond. Ed. Cambridge University Press collana Cambridge Monographs on Mathematical Physics. In-8°, legatura, sovraccoperta, pp. XIX-531, ottime condizioni. ISBN

Understanding Machine Learning From Theory to Algorithms

ISBN: , SKU: , AUTHOR: Shai Ben David Shai Shalev Shwartz, PUBLISHER: Cambridge University Press, NA

Activity Theory in Practice Promoting Learning Across

ISBN: , SKU: , AUTHOR: Anne Edwards Harry Daniels Sten R Ludvigsen Tony Gallagher Yrjo Engestrom, PUBLISHER: Routledge, NA

Libri fisica, astrofisica, matematica

Vari libri di fisica, astrofisica, matematica: dalla meccanica alla teoria quantistica dei campi alla relatività generale. Per il prezzo contattatemi dato che alcuni sono libri originali, altri delle ristampe più economiche. Spedisco a carico acquirente, vendo preferibilmente gruppi di libri e non singole unità. NO perditempo. LISTA attuale: Quantum Field Theory in a nutshell A. Zee Lezioni sulla Teoria dell'Integrale Alessandro Fonda Geometrical Methods of mathematical physics B. Schutz Cosmology Steven Weinberg Problems and Solutions on Quantum Mechanics Yung-Kuo Lim Questi invece sono stampe: Group Theory - C. Ludeling (stampa) Quantum and Statistical Field Theory - M Le Bellac (stampa)

vestito theory

Marca: THEORY. Genere: donna. Taglia: M. Colore: Avorio. Materiale: Seta. Descrizione prodotto: Vestito di Theory color avorio in perfetto stato, usato solo una volta, comprato a NY. [ID: ]

Brain-Based Learning & Teaching

ISBN: , SKU: , AUTHOR: Jensen, Eric, PUBLISHER: Brain Store, A successful approach to learning means learning smarter, not harder. The goal of attaining maximum attention, understanding, meaning, and memory are presented in this piece as fundamentals to brain-based learning.

Logical Learning Theory: A Human Teleology and Its Empirical

ISBN: , SKU: , AUTHOR: Rychlak, Joseph F., PUBLISHER: University of Nebraska Press, In , B. F. Skinner told Joseph Rychlak that the greatest disappointment resulting from the "cognitive revolution" was the turning of the human organism into a machine. Intrigued by this statement, Rychlak decided that after many years of formulation it was time to present his fundamentally teleological view of the human being, which he calls the "logical learning theory" (LLT). In this new theoretical perspective the author re-presents such concepts as intention, purpose, and free will. Significant aspects of the "mind-body" issue are explored here. Rychlak addresses teleological issues and provides a language for proper conceptualization. He uses experimental findings to support the notion of behavior as self-directed rather than mechanistic. In the process, Rychlak places LLT on the side of teleological explanation, in which concepts like free will, self-choice, purpose and intention are no longer dismissed. Rychlak compares LLT and existing formulations of behavior, including classical and operant conditioning, social learning theory, social constructionism, cognitive science, gestalt theories, and personality theories. Extensive research data and thorough discussions support Rychlak's theory. A glossary is also included.

Machine Learning and Statistics: The Interface

ISBN: , SKU: , AUTHOR: Nakhaeizadeh, Gholamreza / Taylor, C. C. / Nakhaeizadeh, G., PUBLISHER: Wiley-Interscience, The interface between statistics and machine learning (ML) is an increasingly popular research subject, as scientists and statisticians discover useful areas where these disciplines overlap. ML deals primarily with learning rules or structure, and while some books on the subject exist, this volume is the only one to integrate ML with statistics. It explores new areas where theory and methods can be shared and demonstrates the benefits to those working in either discipline. Written by leading experts in both fields, Machine Learning and Statistics is a result of the authors' participation in the European Conference in Machine Learning. This important collection of contributions was adapted from conference workshop material and reworked to address readers of diverse backgrounds and skills. For newcomers to the field, a thorough introduction surveys the various topics and supplies numerous references for further reading. The book's main focus is on classification, the most common area of intersection. The classification process uses information about a new example to assign the example to one of a known number of classes. Such methods typically involve a rule learned from an initial set of data, which is where ML comes into play. Other topics covered include prediction, control, and an introduction to methods of knowledge discovery in databases--a skill that has become especially relevant with the explosion in large-scale databases. Timely, practical, and innovative, this book offers a number of new algorithms and draws on real-world examples including financial and medical applications. It also includes two chapters on loans/credit applications that help identify bad risks and good customers--useful for those working with credit scoring and bad debt analysis. Machine Learning and Statistics is an invaluable resource for researchers involved with artificial intelligence and ML in academia, government, or industry, as well as those working with pattern recognition in statistical departments; for students at the graduate level who seek to expand their horizons; and for anyone who would like to learn more about these cutting-edge methodologies. The first book to explore the theory, methods, and applications of the relationship between machine learning and statistics. Here is the first book to address the growing demand for applications that integrate machine learning and statistics. The only text to focus on the interface between the two disciplines, this volume explores a mutually beneficial relationship that is fast becoming recognized by scientists, engineers, and researchers in data analysis and intelligent systems worldwide. The book shows that machine learning shares several areas of common research with statistics, most notably classification, prediction, and control. It demonstrates that statistical and probability methodologies can be applied in developing different machine learning algorithms and that these algorithms can

Statistical Inference - Based on the likelihood (by

Statistical Inference - Based on the likelihood (by A.Azzalini). Year: . Hardcover - 343 pages. CHAPMAN&HALL/CRC. The book is written in ENGLISH.

Data reduction - analysing & interpreting statistical data

A.S.C. Ehrenberg: Data reduction - analysing & interpreting statistical data: Wiley . Testo scolastico per facoltà di sociologia in inglese. Ottime condizioni. Vendo a 4,88€ spese di spedizione incluse.

Realistic Socio-Legal Theory Pragmatism and A Social Theory

ISBN: , SKU: , AUTHOR: Brian Z Tamanaha, PUBLISHER: Oxford University Press, NA

Daiwa theory 45 mh match

Vendo daiwa theory 45mh , tre pezzi, come nuova.

Statistical Methods of Econometrics

Statistical Methods of Econometrics. Translation by Mrs. A. Silvey. MALINVAUD, E.: Published by North-Holland publishing company, Amsterdam Used Hardcover 631 pp; figs. Original cloth. Very Good, without dust jacket. Studies in Mathematical and Managerial Economics, Volume 6. Euro 50 (varie 491)

Daiwa Theory 45Ml

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Breakthroughs in Statistics: Volume III

ISBN: , SKU: , AUTHOR: Kotz, Samuel / Johnson, Norman L., PUBLISHER: Springer, This is author-approved bcc: This is the third volume of a collection of seminal papers in the statistical sciences written during the past 110 years. These papers have each had an outstanding influence on the development of statistical theory and practice over the last century. Each paper is preceded by an introduction written by an authority in the field providing background information and assessing its influence. Volume III concerntrates on articles from the 's while including some earlier articles not included in Volume I and II. Samuel Kotz is Professor of Statistics in the College of Business and Management at the University of Maryland. Norman L. Johnson is Professor Emeritus of Statistics at the University of North Carolina. Also available: Breakthroughs in Statistics Volume I: Foundations and Basic Theory Samuel Kotz and Norman L. Johnson, Editors pp. Softcover. ISBN Breakthroughs in Statistics Volume II: Methodology and Distribution Samuel Kotz and Norman L. Johnson, Editors pp. Softcover. ISBN

Play and Educational Theory and Practice

ISBN: , SKU: , AUTHOR: Johnston, M. C. / Lytle, Don / Lytle, Donald E., PUBLISHER: Praeger, Combining the research talents of many long-standing members of the Association for the Study of Play, this work provides discussions of the theory and applied value of play, as well as ongoing research from America, Australia, Taiwan, and Korea. The developmental and educational theories of Lev Semenovich Vygotsky are analyzed in several chapters. The world's premiere play scholar, Brian Sutton-Smith, continues his seminal play theory work, following up on previously presented findings and constructing a developmental theory of play based on emotions. Chapters address: Play as a parody of emotional vulnerability Learning to observe children at play Symbolic play through the eyes and words of children The activities of children at recess in middle school Professors, teachers, scholars, and university students interested in early childhood education, child development, play theory and practice, and preschool and elementary education will find this volume of interest.

Vygotsky's Educational Theory in Cultural Context

ISBN: , SKU: , AUTHOR: Kozulin, Alex / Ageyev, Vladimir / Miller, Suzanne, PUBLISHER: Cambridge University Press, Innovative ideas in educational psychology, learning, and instruction, originally formulated by Russian psychologist and educator Lev Vygotsky, are currently enjoying unprecedented popularity in the U.S., Latin America, Europe, and Russia. An international team of scholarly contributors provides comprehensive coverage of all the main concepts of Vygotsky's sociocultural theory. They emphasize its importance for the understanding of child development, and propose specific classroom applications.

The Transfer of Cognitive Skill

ISBN: , SKU: , AUTHOR: Singley, Mark K. / Anderson, John R., PUBLISHER: Harvard University Press, Does a knowledge of Latin facilitate he learning of computer programming? Does skill in geometry make it easier to learn music? The issue of the transfer of learning from one domain to another is a classic problem in psychology as well as an educational question of great importance, which this ingenious new book sets out to solve through a theory of transfer based on a comprehensive theory of skill acquisition. The question was first studies systematically at the turn of the century by the noted psychologist Edward L. Thorndike, who proposed a theory of transfer based on common elements in two different tasks. Since then, psychologists of different theoretical orientations--verbal learning, gestalt, and information processing--have addressed the transfer question with differing and inconclusive results. Singley and Anderson resurrect Thorndike's theory of identical elements, but in a broader context and from the perspective of cognitive psychology. Making use o a powerful knowledge-representation language, they recast his elements into units of procedural and declarative knowledge in the ACT* theory of skill acquisition. One skill will transfer to another, they argue, to the extent that it involves the same productions or the same declarative precursors. They show that with production rules, ransfer can be localized to specific components--in keeping with Thorndike's theory--and yet still be abstract and mentalistic. The findings of this book have important implications for psychology and the improvement of teaching. They will interest cognitive scientists and educational psychologists, as well as computer scientists interested in artificial intelligence and cognitive modeling.

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