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Machine Learning Proceedings 1995
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Book Synopsis Machine Learning Proceedings 1995 by : Armand Prieditis
Download or read book Machine Learning Proceedings 1995 written by Armand Prieditis and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1995
Book Synopsis Machine Learning: ECML-95 by : Nada Lavrač
Download or read book Machine Learning: ECML-95 written by Nada Lavrač and published by Springer Science & Business Media. This book was released on 1995-04-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning: ECML-95 by : Nada Lavrač
Download or read book Machine Learning: ECML-95 written by Nada Lavrač and published by Springer. This book was released on 1995-04-05 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Machine Learning Proceedings 1993 by : Lawrence A. Birnbaum
Download or read book Machine Learning Proceedings 1993 written by Lawrence A. Birnbaum and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1993
Book Synopsis Machine Learning by : William W. Cohen
Download or read book Machine Learning written by William W. Cohen and published by Morgan Kaufmann Publishers. This book was released on 1994 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Proceedings of the Workshop on Value Function Approximation by : Justin A. Boyan
Download or read book Proceedings of the Workshop on Value Function Approximation written by Justin A. Boyan and published by . This book was released on 1995 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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."
Download or read book Machine Learning written by D. Sleeman and published by Morgan Kaufmann. This book was released on 1992 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1992.
Download or read book MACHINE LEARNING written by Nada Lavrac and published by . This book was released on 1995 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the Sixth International Workshop on Machine Learning, Cornell University, Ithaca, New York, June 26-27, 1989 by : Alberto Maria Segre
Download or read book Proceedings of the Sixth International Workshop on Machine Learning, Cornell University, Ithaca, New York, June 26-27, 1989 written by Alberto Maria Segre and published by Morgan Kaufmann. This book was released on 1989 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1989.
Book Synopsis Computational Learning Theory by : Paul Vitanyi
Download or read book Computational Learning Theory written by Paul Vitanyi and published by Springer Science & Business Media. This book was released on 1995-02-23 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the Second European Conference on Computational Learning Theory (EuroCOLT '95), held in Barcelona, Spain in March 1995. The book contains full versions of the 28 papers accepted for presentation at the conference as well as three invited papers. All relevant topics in fundamental studies of computational aspects of artificial and natural learning systems and machine learning are covered; in particular artificial and biological neural networks, genetic and evolutionary algorithms, robotics, pattern recognition, inductive logic programming, decision theory, Bayesian/MDL estimation, statistical physics, and cryptography are addressed.
Book Synopsis IJCAI-95 by : Christopher S. Mellish
Download or read book IJCAI-95 written by Christopher S. Mellish and published by . This book was released on 1995 with total page 1086 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of COMPSTAT'2010 by : Yves Lechevallier
Download or read book Proceedings of COMPSTAT'2010 written by Yves Lechevallier and published by Springer Science & Business Media. This book was released on 2010-11-08 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Book Synopsis Advanced Lectures on Machine Learning by : Olivier Bousquet
Download or read book Advanced Lectures on Machine Learning written by Olivier Bousquet and published by Springer. This book was released on 2011-03-22 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school series was started in February 2002, the documentation of which is published as LNAI 2600. This book presents revised lectures of two subsequent summer schools held in 2003 in Canberra, Australia, and in Tübingen, Germany. The tutorial lectures included are devoted to statistical learning theory, unsupervised learning, Bayesian inference, and applications in pattern recognition; they provide in-depth overviews of exciting new developments and contain a large number of references. Graduate students, lecturers, researchers and professionals alike will find this book a useful resource in learning and teaching machine learning.
Book Synopsis Advances in Neural Information Processing Systems 8 by : David S. Touretzky
Download or read book Advances in Neural Information Processing Systems 8 written by David S. Touretzky and published by MIT Press. This book was released on 1996 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Seventh International Conference on Tools with Artificial Intelligence : Proceedings, November 5-8, 1995, Herndon, Virginia by :
Download or read book Seventh International Conference on Tools with Artificial Intelligence : Proceedings, November 5-8, 1995, Herndon, Virginia written by and published by . This book was released on 1995 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers of the meeting held in Herndon, Va. in Nov. 1995 and sponsored jointly with Binghampton University's AAAI Research Lab, the AAAI, and ACM. Most were presented by academics in sessions dealing with AI paradigms, software engineering, intelligent automation, machine learning, applications, and evaluation of systems. No index. Annotation copyright by Book News, Inc., Portland, OR.
Author :International Conference on Machine Learning (University of Texas in Austin.) Publisher : ISBN 13 :9781558601413 Total Pages :427 pages Book Rating :4.6/5 (14 download)
Book Synopsis Machine Learning by : International Conference on Machine Learning (University of Texas in Austin.)
Download or read book Machine Learning written by International Conference on Machine Learning (University of Texas in Austin.) and published by . This book was released on 1990 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithmic Learning Theory by : Klaus P. Jantke
Download or read book Algorithmic Learning Theory written by Klaus P. Jantke and published by Springer. This book was released on 1995-10-05 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Workshop on Algorithmic Learning Theory, ALT '95, held in Fukuoka, Japan, in October 1995. The book contains 21 revised full papers selected from 46 submissions together with three invited contributions. It covers all current areas related to algorithmic learning theory, in particular the theory of machine learning, design and analysis of learning algorithms, computational logic aspects, inductive inference, learning via queries, artificial and biologicial neural network learning, pattern recognition, learning by analogy, statistical learning, inductive logic programming, robot learning, and gene analysis.