Machine Learning Ecml 94
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Machine Learning Ecml 94
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Author : Francesco Bergadano
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-03-22
Machine Learning Ecml 94 written by Francesco Bergadano and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-03-22 with Computers categories.
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.
Machine Learning Proceedings 1994
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Author : William W. Cohen
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-06-28
Machine Learning Proceedings 1994 written by William W. Cohen and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Machine Learning Proceedings 1994
Machine Learning And Its Applications
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Author : Georgios Paliouras
language : en
Publisher: Springer
Release Date : 2003-06-29
Machine Learning And Its Applications written by Georgios Paliouras and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-29 with Computers categories.
In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.
Machine Learning Proceedings 1995
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Author : Armand Prieditis
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-06-28
Machine Learning Proceedings 1995 written by Armand Prieditis and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
Machine Learning Proceedings 1995
Logic Program Synthesis And Transformation
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Author : Maurizio Proietti
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-03-06
Logic Program Synthesis And Transformation written by Maurizio Proietti and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-03-06 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Workshop on Logic Program Synthesis and Transformation, LOPSTR'95, held in Utrecht, The Netherlands in September 1995. The 19 papers included were selected from 40 workshop submissions; they offer a unique up-to-date account of the use of formal synthesis and transformation techniques for computer-aided development of logic programs. Among the topics addressed are deductive and inductive program synthesis, synthesis models based on constructive type theory, program specification, program analysis, theorem proving, and applications to various types of programs.
Advances In Knowledge Acquisition
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Author : Nigel Shadbolt
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-04-26
Advances In Knowledge Acquisition written by Nigel Shadbolt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-04-26 with Computers categories.
This book presents the refereed proceedings of the 9th European Knowledge Acquisition Workshop, EKAW '96, held in Nottingham, UK, in May 1996. The 23 revised full papers included address the most relevant theoretical and applicational aspects of knowledge acquisition with a certain emphasis on the acquisition of knowledge for the modelling or automation of complex problem-solving behaviour. The volume is organized in sections on theoretical and general issues, eliciting knowledge from textual or other sources, data-mining, group elicitation, and planning.
Encyclopedia Of Information Science And Technology
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Author : Mehdi Khosrow-Pour
language : en
Publisher: IGI Global Snippet
Release Date : 2009
Encyclopedia Of Information Science And Technology written by Mehdi Khosrow-Pour and has been published by IGI Global Snippet this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.
Feature Selection For High Dimensional Data
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Author : Verónica Bolón-Canedo
language : en
Publisher: Springer
Release Date : 2015-10-05
Feature Selection For High Dimensional Data written by Verónica Bolón-Canedo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-05 with Computers categories.
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers. The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.
Algorithmic Learning Theory
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Author : Michael M. Richter
language : en
Publisher: Springer Science & Business Media
Release Date : 1998
Algorithmic Learning Theory written by Michael M. Richter and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Artificial intelligence categories.
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 of Kaiserslautern. Thirty-four papers on all aspects of algorithmic learning theory and related areas were submitted, all electronically. Twenty-six papers were accepted by the program committee based on originality, quality, and relevance to the theory of machine learning. Additionally, three invited talks presented by Akira Maruoka of Tohoku University, Arun Sharma of the University of New South Wales, and Stefan Wrobel from GMD, respectively, were featured at the conference. We would like to express our sincere gratitude to our invited speakers for sharing with us their insights on new and exciting developments in their areas of research. This conference is the ninth in a series of annual meetings established in 1990. The ALT series focuses on all areas related to algorithmic learning theory including (but not limited to): the theory of machine learning, the design and analysis of learning algorithms, computational logic of/for machine discovery, inductive inference of recursive functions and recursively enumerable languages, learning via queries, learning by arti cial and biological neural networks, pattern recognition, learning by analogy, statistical learning, Bayesian/MDL estimation, inductive logic programming, robotics, application of learning to databases, and gene analyses.
Topics In Artificial Intelligence
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Author : Associazione italiana per l'intelligenza artificiale. Congress
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-09-27
Topics In Artificial Intelligence written by Associazione italiana per l'intelligenza artificiale. Congress and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-09-27 with Computers categories.
This book presents the refereed proceedings of the 4th Congress of the Italian Association for Artificial Intelligence, AI*IA '95, held in Florence, Italy, in October 1995. The 31 revised full papers and the 12 short presentations contained in the volume were selected from a total of 101 submissions on the basis of a careful reviewing process. The papers are organized in sections on natural language processing, fuzzy systems, machine learning, knowledge representation, automated reasoning, cognitive models, robotics and planning, connectionist models, model-based reasoning, and distributed artificial intelligence.