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Author: William W. Cohen
Publisher: Morgan Kaufmann
ISBN: 1483298183
Category : Computers
Languages : en
Pages : 398
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Book Description
Machine Learning Proceedings 1994
Author: William W. Cohen
Publisher: Morgan Kaufmann
ISBN: 1483298183
Category : Computers
Languages : en
Pages : 398
Get Book Here
Book Description
Machine Learning Proceedings 1994
Author: J. Ross Quinlan
Publisher: Morgan Kaufmann
ISBN: 9781558602380
Category : Computers
Languages : en
Pages : 286
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Book Description
This book is a complete guide to the C4.5 system as implemented in C for the UNIX environment. It contains a comprehensive guide to the system's use, the source code (about 8,800 lines), and implementation notes.
Author: William Cohen
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Machine Learning Proceedings 1994.
Author: Armand Prieditis
Publisher: Morgan Kaufmann
ISBN: 1483298663
Category : Computers
Languages : en
Pages : 606
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Book Description
Machine Learning Proceedings 1995
Author: Gerald Tesauro
Publisher: MIT Press
ISBN: 9780262201049
Category : Computers
Languages : en
Pages : 1180
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Book Description
November 28-December 1, 1994, Denver, Colorado NIPS is the longest running annual meeting devoted to Neural Information Processing Systems. Drawing on such disparate domains as neuroscience, cognitive science, computer science, statistics, mathematics, engineering, and theoretical physics, the papers collected in the proceedings of NIPS7 reflect the enduring scientific and practical merit of a broad-based, inclusive approach to neural information processing. The primary focus remains the study of a wide variety of learning algorithms and architectures, for both supervised and unsupervised learning. The 139 contributions are divided into eight parts: Cognitive Science, Neuroscience, Learning Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Visual Processing, and Applications. Topics of special interest include the analysis of recurrent nets, connections to HMMs and the EM procedure, and reinforcement- learning algorithms and the relation to dynamic programming. On the theoretical front, progress is reported in the theory of generalization, regularization, combining multiple models, and active learning. Neuroscientific studies range from the large-scale systems such as visual cortex to single-cell electrotonic structure, and work in cognitive scientific is closely tied to underlying neural constraints. There are also many novel applications such as tokamak plasma control, Glove-Talk, and hand tracking, and a variety of hardware implementations, with particular focus on analog VLSI.
Author: Maarten van Someren
Publisher: Springer Science & Business Media
ISBN: 9783540628583
Category : Computers
Languages : en
Pages : 380
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Book Description
This book constitutes the refereed proceedings of the Ninth European Conference on Machine Learning, ECML-97, held in Prague, Czech Republic, in April 1997. This volume presents 26 revised full papers selected from a total of 73 submissions. Also included are an abstract and two papers corresponding to the invited talks as well as descriptions from four satellite workshops. The volume covers the whole spectrum of current machine learning issues.
Author: Louis M. Pereira
Publisher: Springer Science & Business Media
ISBN: 9783540594673
Category : Computers
Languages : en
Pages : 248
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Book Description
This volume is based on papers presented during the ICLP '94 Workshop on Nonmonotonic Extensions of Logic Programming and on papers solicited afterwards from key researchers participating in the workshop. In total 10 carefully refereed, revised, full research papers on semantics and computational aspects of logic programs are included. Logic programs rely on a nonmonotonic operator often referred to as negation by failure or negation by default. The nonmonoticity of this operator allows to apply results from the area of nonmonotonic theories to the investigation of logic programs (and vice versa). This volume is devoted to the interdependence of nonmonotonic formalisms and logic programming.
Author: Aske Plaat
Publisher: Springer Nature
ISBN: 3030592383
Category : Computers
Languages : en
Pages : 335
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Book Description
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.
Author: W. Bruce Croft
Publisher: Springer Science & Business Media
ISBN: 144712099X
Category : Computers
Languages : en
Pages : 371
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Book Description
Information retrieval (IR) is becoming an increasingly important area as scientific, business and government organisations take up the notion of "information superhighways" and make available their full text databases for searching. Containing a selection of 35 papers taken from the 17th Annual SIGIR Conference held in Dublin, Ireland in July 1994, the book addresses basic research and provides an evaluation of information retrieval techniques in applications. Topics covered include text categorisation, indexing, user modelling, IR theory and logic, natural language processing, statistical and probabilistic models of information retrieval systems, routing, passage retrieval, and implementation issues.
Author: Huan Liu
Publisher: Springer Science & Business Media
ISBN: 1461557259
Category : Computers
Languages : en
Pages : 418
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Book Description
There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today's advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so as to make data mining tasks easier. Feature construction and selection can be viewed as two sides of the representation problem.
