Predictive Learning


Predictive Learning
Author: Vladimir S. Cherkassky
Publisher:
ISBN: 9780988986909
Size: 25.52 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.


Machine Learning for Predictive Analysis
Language: en
Pages:
Authors: Amit Joshi
Categories:
Type: BOOK - Published: - Publisher: Springer Nature
Books about Machine Learning for Predictive Analysis
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.
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
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
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
Advances in Artificial Intelligence - IBERAMIA-SBIA 2006
Language: en
Pages: 635
Authors: Jaime Simao Sichman, Helder Coelho, Solange Oliveira Rezende
Categories: Computers
Type: BOOK - Published: 2006-10-06 - Publisher: Springer Science & Business Media
This book constitutes the refereed proceedings of the 2nd International Joint Conference of the 10th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2006, and the 18th Brazilian Artificial Intelligence Symposium, SBIA 2006. The book presents 62 revised full papers together with 4 invited lectures. Topical sections include AI in education and
Machine Learning: ECML 2003
Language: en
Pages: 504
Authors: Nada Lavrač, Dragan Gamberger, Hendrik Blockeel, Ljupco Todorovski
Categories: Computers
Type: BOOK - Published: 2003-09-12 - Publisher: Springer Science & Business Media
This book constitutes the refereed proceedings of the 14th European Conference on Machine Learning, ECML 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with PKDD 2003. The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for PKDD
The Neurological Basis of Learning, Development and Discovery
Language: en
Pages: 285
Authors: Anton E. Lawson
Categories: Science
Type: BOOK - Published: 2006-04-11 - Publisher: Springer Science & Business Media
A goal of mine ever since becoming an educational researcher has been to help construct a sound theory to guide instructional practice. For far too long, educational practice has suffered because we have lacked firm instructional guidelines, which in my view should be based on sound psychological theory, which in
Algorithmic Learning Theory
Language: en
Pages: 438
Authors: Michael M. Richter
Categories: Algorithmes - Congrès
Type: BOOK - Published: 1998 - Publisher: Springer Science & Business Media
This volume contains all the papers presented at the Ninth International Con- rence on Algorithmic Learning Theory (ALT’98), held at the European education centre Europ ̈aisches Bildungszentrum (ebz) Otzenhausen, Germany, October 8{ 10, 1998. The Conference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI) and the University