Download Full eBooks in PDF
Machine Learning Proceedings 1992 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Machine Learning Proceedings 1992 book. This book definitely worth reading, it is an incredibly well-written.
Author : Peter Edwards,Derek Sleeman
Publisher : Morgan Kaufmann
Page : 497 pages
File Size : 53,9 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9781483298535
Machine Learning Proceedings 1992
Author : Machine Learning
Publisher : Morgan Kaufmann
Page : 661 pages
File Size : 42,6 Mb
Release : 2014-06-28
Category : Computers
ISBN : 9781483298177
Machine Learning
Author : A Adams,L Sterling
Publisher : World Scientific
Page : 410 pages
File Size : 55,8 Mb
Release : 1992-10-09
Category : Electronic
ISBN : 9789814553605
The papers in this volume deal with academic research topics as well as practical applications in AI. Special emphasis is given to computer vision, machine learning, neural networks mixed with theory of logic and reasoning, and practical applications of expert systems in industry and decision support.
Author : Francesco Bergadano
Publisher : Springer Science & Business Media
Page : 460 pages
File Size : 41,9 Mb
Release : 1994-03-22
Category : Computers
ISBN : 3540578684
This volume contains the proceedings of the European Conference on Machine Learning 1994, which continues the tradition of earlier meetings and which is a major forum for the presentation of the latest and most significant results in machine learning. Machine learning is one of the most important subfields of artificial intelligence and computer science, as it is concerned with the automation of learning processes. This volume contains two invited papers, 19 regular papers, and 25 short papers carefully reviewed and selected from in total 88 submissions. The papers describe techniques, algorithms, implementations, and experiments in the area of machine learning.
Author : Lawrence A. Birnbaum
Publisher : Morgan Kaufmann
Page : 540 pages
File Size : 50,5 Mb
Release : 2014-05-23
Category : Computers
ISBN : 9781483298627
Machine Learning Proceedings 1993
Author : Machine Learning
Publisher : Morgan Kaufmann
Page : 427 pages
File Size : 49,9 Mb
Release : 2014-05-23
Category : Computers
ISBN : 9781483298580
Machine Learning Proceedings 1990
Author : John Laird
Publisher : Morgan Kaufmann
Page : 467 pages
File Size : 41,9 Mb
Release : 2014-05-23
Category : Computers
ISBN : 9781483297699
Machine Learning Proceedings 1988
Author : William W. Cohen
Publisher : Morgan Kaufmann
Page : 381 pages
File Size : 48,8 Mb
Release : 2017-01-31
Category : Computers
ISBN : 9781483298184
Machine Learning Proceedings 1994
Author : Pavel B. Brazdil
Publisher : Springer Science & Business Media
Page : 492 pages
File Size : 46,8 Mb
Release : 1993-03-23
Category : Computers
ISBN : 3540566023
This volume contains the proceedings of the Eurpoean Conference on Machine Learning (ECML-93), continuing the tradition of the five earlier EWSLs (European Working Sessions on Learning). The aim of these conferences is to provide a platform for presenting the latest results in the area of machine learning. The ECML-93 programme included invited talks, selected papers, and the presentation of ongoing work in poster sessions. The programme was completed by several workshops on specific topics. The volume contains papers related to all these activities. The first chapter of the proceedings contains two invited papers, one by Ross Quinlan and one by Stephen Muggleton on inductive logic programming. The second chapter contains 18 scientific papers accepted for the main sessions of the conference. The third chapter contains 18 shorter position papers. The final chapter includes three overview papers related to the ECML-93 workshops.
Author : Derek Sleeman
Publisher : Unknown
Page : 128 pages
File Size : 41,6 Mb
Release : 1992
Category : Electronic
ISBN : 155860247X
Author : Machine Learning
Publisher : Morgan Kaufmann
Page : 400 pages
File Size : 44,7 Mb
Release : 2016-01-22
Category : Computers
ISBN : 9781483298665
Machine Learning Proceedings 1995
Author : Stephen J. Hanson,Werner Remmele,Ronald L. Rivest
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 41,7 Mb
Release : 1993-03-30
Category : Computers
ISBN : 3540564837
This volume includes some of the key research papers in the area of machine learning produced at MIT and Siemens during a three-year joint research effort. It includes papers on many different styles of machine learning, organized into three parts. Part I, theory, includes three papers on theoretical aspects of machine learning. The first two use the theory of computational complexity to derive some fundamental limits on what isefficiently learnable. The third provides an efficient algorithm for identifying finite automata. Part II, artificial intelligence and symbolic learning methods, includes five papers giving an overview of the state of the art and future developments in the field of machine learning, a subfield of artificial intelligence dealing with automated knowledge acquisition and knowledge revision. Part III, neural and collective computation, includes five papers sampling the theoretical diversity and trends in the vigorous new research field of neural networks: massively parallel symbolic induction, task decomposition through competition, phoneme discrimination, behavior-based learning, and self-repairing neural networks.
Author : Lorenza Saitta
Publisher : Morgan Kaufmann Publishers
Page : 580 pages
File Size : 44,7 Mb
Release : 1996
Category : Computers
ISBN : UVA:X004091471
Author : Anthony Adams
Publisher : World Scientific Publishing Company Incorporated
Page : 396 pages
File Size : 49,5 Mb
Release : 1992-01-01
Category : Computers
ISBN : 981021250X
Author : William W. Cohen,Haym Hirsh
Publisher : Morgan Kaufmann Publishers
Page : 408 pages
File Size : 43,7 Mb
Release : 1994
Category : Artificial intelligence
ISBN : UCSD:31822018782672
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
