Predictive Learning


Predictive Learning
Author: Vladimir S. Cherkassky
Publisher:
ISBN: 9780988986909
Size: 39.88 MB
Format: PDF
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Predictive Learning

Predictive Learning by Vladimir S. Cherkassky, Predictive Learning Books available in PDF, EPUB, Mobi Format. Download Predictive Learning books, Discusses a non-mathematical approach to machine learning, emphasizing its predictive aspects. The book contains over 60 examples and case studies illustrating various aspects of learning methods. Supplemental material includes lecture slides, data sets, and MATLAB scripts.


Predictive Learning
Language: en
Pages: 459
Authors: Vladimir S. Cherkassky
Categories: Computational learning theory
Type: BOOK - Published: 2013 - Publisher:
Discusses a non-mathematical approach to machine learning, emphasizing its predictive aspects. The book contains over 60 examples and case studies illustrating various aspects of learning methods. Supplemental material includes lecture slides, data sets, and MATLAB scripts.
Introduction to Predictive Learning
Language: en
Pages: 400
Authors: Vladimir S. Cherkassky, Yunqian Ma
Categories: Computers
Type: BOOK - Published: 2010-05-01 - Publisher: Springer
This textbook, accessible to undergraduate students and practitioners, emphasizes the methodology and principles of predictive learning, rather than the specialized terminology or detailed description of learning algorithms.
An Overview of Predictive Learning and Function Approximation
Language: en
Pages: 63
Authors: Jerome H. Friedman
Categories: Machine learning
Type: BOOK - Published: 1994 - Publisher:
Books about An Overview of Predictive Learning and Function Approximation
Adaptive Learning and the Human Condition
Language: en
Pages: 288
Authors: Jeffrey C. Levy
Categories: Education
Type: BOOK - Published: 2015-10-30 - Publisher: Routledge
Adaptive Learning and the Human Condition presents the basic principles of classical (Pavlovian) and instrumental (Skinnerian) conditioning in a more coherent and expansive manner than is the case in other textbooks. Learning is defined as an adaptive process through which individuals acquire the ability to predict, and where possible, control
Learning from Data
Language: en
Pages: 560
Authors: Vladimir Cherkassky, Filip M. Mulier
Categories: Computers
Type: BOOK - Published: 2007-09-10 - Publisher: John Wiley & Sons
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied—showing that
Fundamentals of Machine Learning for Predictive Data Analytics
Language: en
Pages: 624
Authors: John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
Categories: Computers
Type: BOOK - Published: 2015-07-24 - Publisher: MIT Press
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Rule-Based Evolutionary Online Learning Systems
Language: en
Pages: 259
Authors: Martin V. Butz
Categories: Computers
Type: BOOK - Published: 2006-01-04 - Publisher: Springer
Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion capabilities of genetic algorithms promising a ?exible, online general- ing, solely reinforcement dependent learning system. However, despite several
Data Complexity in Pattern Recognition
Language: en
Pages: 300
Authors: Mitra Basu, Tin Kam Ho
Categories: Computers
Type: BOOK - Published: 2006-12-22 - Publisher: Springer Science & Business Media
Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern
Machine Learning: ECML 2001
Language: en
Pages: 618
Authors: European Conference on Machine Learning, Luc de Raedt, Peter Flach, Peter A. Flach
Categories: Computers
Type: BOOK - Published: 2001-08-23 - Publisher: Springer Science & Business Media
This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001. The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are
Machine Learning: ECML 2006
Language: en
Pages: 851
Authors: Johannes Fürnkranz, Tobias Scheffer
Categories: Computers
Type: BOOK - Published: 2006-09-19 - Publisher: Springer Science & Business Media
This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers