Machine Learning Proceedings 1995 PDF Download

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: Nada Lavrač
Publisher: Springer Science & Business Media
ISBN: 9783540592860
Category : Computers
Languages : en
Pages : 388

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Book Description
This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.

Author: Nada Lavrač
Publisher: Springer
ISBN: 9783540592860
Category : Computers
Languages : en
Pages : 376

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Book Description
This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995. Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.

Author: Lawrence A. Birnbaum
Publisher: Morgan Kaufmann
ISBN: 1483298620
Category : Computers
Languages : en
Pages : 361

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Book Description
Machine Learning Proceedings 1993

Author: William W. Cohen
Publisher: Morgan Kaufmann Publishers
ISBN:
Category : Computers
Languages : en
Pages : 408

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Book Description
Presents 42 papers from the July 1994 conference. Topics covered include improving accuracy of incorrect domain theories, greedy attribute selection, boosting and other machine learning algorithms, incremental reduced-error pruning, learning disjunctive concepts using genetic algorithms, and a Baye

Author: Justin A. Boyan
Publisher:
ISBN:
Category : Machine learning
Languages : en
Pages : 86

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Book Description
Abstract: "The workshop on Value Function Approximation took place at the 1995 Machine Learning Conference in Tahoe City, California. It explored the issues that arise in reinforcement learning when the value function cannot be learned exactly, but must be approximated. It has long been recognized that approximation is essential on large, real-world problems because the state space is too large to permit table-lookup approaches. In addition, we need to generalize from past experiences to future ones, which inevitably involves making approximations. In principle, all methods for learning from examples are relevant here, but in practice only a few have been tried, and fewer still have been effective. This workshop brought together all the strands of reinforcement learning research that bear directly on the issue of value function approximation in reinforcement learning. We surveyed what works and what doesn't, and achieved a better understanding of what makes value function approximaton special as a learning from examples problem."

Author: D. Sleeman
Publisher: Morgan Kaufmann
ISBN:
Category : Machine learning
Languages : en
Pages : 522

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Book Description
Machine Learning Proceedings 1992.

Author: David S. Touretzky
Publisher: MIT Press
ISBN: 9780262201070
Category : Computers
Languages : en
Pages : 1128

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Book Description
The past decade has seen greatly increased interaction between theoretical work in neuroscience, cognitive science and information processing, and experimental work requiring sophisticated computational modeling. The 152 contributions in NIPS 8 focus on a wide variety of algorithms and architectures for both supervised and unsupervised learning. They are divided into nine parts: Cognitive Science, Neuroscience, Theory, Algorithms and Architectures, Implementations, Speech and Signal Processing, Vision, Applications, and Control. Chapters describe how neuroscientists and cognitive scientists use computational models of neural systems to test hypotheses and generate predictions to guide their work. This work includes models of how networks in the owl brainstem could be trained for complex localization function, how cellular activity may underlie rat navigation, how cholinergic modulation may regulate cortical reorganization, and how damage to parietal cortex may result in neglect. Additional work concerns development of theoretical techniques important for understanding the dynamics of neural systems, including formation of cortical maps, analysis of recurrent networks, and analysis of self- supervised learning. Chapters also describe how engineers and computer scientists have approached problems of pattern recognition or speech recognition using computational architectures inspired by the interaction of populations of neurons within the brain. Examples are new neural network models that have been applied to classical problems, including handwritten character recognition and object recognition, and exciting new work that focuses on building electronic hardware modeled after neural systems. A Bradford Book

Author: Nada Lavrac
Publisher:
ISBN:
Category :
Languages : it
Pages : 370

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Book Description

Author: Alberto Maria Segre
Publisher: Morgan Kaufmann
ISBN:
Category : Computers
Languages : en
Pages : 524

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Book Description
Machine Learning Proceedings 1989.