Advances in Machine Learning I (Record no. 111686)
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fixed length control field | 05863nam a22004815i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-642-05177-7 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20140220084527.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr nn 008mamaa |
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fixed length control field | 100301s2010 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9783642051777 |
-- | 978-3-642-05177-7 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1007/978-3-642-05177-7 |
Source of number or code | doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | Q342 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | UYQ |
Source | bicssc |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM004000 |
Source | bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Edition number | 23 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Koronacki, Jacek. |
Relator term | editor. |
245 10 - TITLE STATEMENT | |
Title | Advances in Machine Learning I |
Medium | [electronic resource] : |
Remainder of title | Dedicated to the Memory of Professor Ryszard S.Michalski / |
Statement of responsibility, etc | edited by Jacek Koronacki, Zbigniew W. Raś, Sławomir T. Wierzchoń, Janusz Kacprzyk. |
264 #1 - | |
-- | Berlin, Heidelberg : |
-- | Springer Berlin Heidelberg, |
-- | 2010. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | XX, 524p. 154 illus. |
Other physical details | online resource. |
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-- | text |
-- | txt |
-- | rdacontent |
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-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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-- | rdacarrier |
347 ## - | |
-- | text file |
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-- | rda |
490 1# - SERIES STATEMENT | |
Series statement | Studies in Computational Intelligence, |
International Standard Serial Number | 1860-949X ; |
Volume number/sequential designation | 262 |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | Introductory Chapters -- Ryszard S. Michalski: The Vision and Evolution of Machine Learning -- The AQ Methods for Concept Drift -- Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski -- Inductive Learning: A Combinatorial Optimization Approach -- General Issues -- From Active to Proactive Learning Methods -- Explicit Feature Construction and Manipulation for Covering Rule Learning Algorithms -- Transfer Learning via Advice Taking -- Classification and Beyond -- Determining the Best Classification Algorithm with Recourse to Sampling and Metalearning -- Transductive Learning for Spatial Data Classification -- Beyond Sequential Covering – Boosted Decision Rules -- An Analysis of Relevance Vector Machine Regression -- Cascade Classifiers for Hierarchical Decision Systems -- Creating Rule Ensembles from Automatically-Evolved Rule Induction Algorithms -- Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence Classification -- Soft Computing -- Partition Measures for Data Mining -- An Analysis of the FURIA Algorithm for Fuzzy Rule Induction -- Increasing Incompleteness of Data Sets—A Strategy for Inducing Better Rule Sets -- Knowledge Discovery Using Rough Set Theory -- Machine Learning Techniques for Prostate Ultrasound Image Diagnosis -- Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images Using Fuzzy Clustering -- Machine Learning for Robotics -- Automatic Selection of Object Recognition Methods Using Reinforcement Learning -- Comparison of Machine Learning for Autonomous Robot Discovery -- Multistrategy Learning for Robot Behaviours -- Neural Networks and Other Nature Inspired Approaches -- Quo Vadis? Reliable and Practical Rule Extraction from Neural Networks -- Learning and Evolution of Autonomous Adaptive Agents -- Learning and Unlearning in Hopfield-Like Neural Network Performing Boolean Factor Analysis. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This is the first volume of a large two-volume editorial project we wish to dedicate to the memory of the late Professor Ryszard S. Michalski who passed away in 2007. He was one of the fathers of machine learning, an exciting and relevant, both from the practical and theoretical points of view, area in modern computer science and information technology. His research career started in the mid-1960s in Poland, in the Institute of Automation, Polish Academy of Sciences in Warsaw, Poland. He left for the USA in 1970, and since then had worked there at various universities, notably, at the University of Illinois at Urbana – Champaign and finally, until his untimely death, at George Mason University. We, the editors, had been lucky to be able to meet and collaborate with Ryszard for years, indeed some of us knew him when he was still in Poland. After he started working in the USA, he was a frequent visitor to Poland, taking part at many conferences until his death. We had also witnessed with a great personal pleasure honors and awards he had received over the years, notably when some years ago he was elected Foreign Member of the Polish Academy of Sciences among some top scientists and scholars from all over the world, including Nobel prize winners. Professor Michalski’s research results influenced very strongly the development of machine learning, data mining, and related areas. Also, he inspired many established and younger scholars and scientists all over the world. We feel very happy that so many top scientists from all over the world agreed to pay the last tribute to Professor Michalski by writing papers in their areas of research. These papers will constitute the most appropriate tribute to Professor Michalski, a devoted scholar and researcher. Moreover, we believe that they will inspire many newcomers and younger researchers in the area of broadly perceived machine learning, data analysis and data mining. The papers included in the two volumes, Machine Learning I and Machine Learning II, cover diverse topics, and various aspects of the fields involved. For convenience of the potential readers, we will now briefly summarize the contents of the particular chapters. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Engineering. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Artificial Intelligence (incl. Robotics). |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Raś, Zbigniew W. |
Relator term | editor. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Wierzchoń, Sławomir T. |
Relator term | editor. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Kacprzyk, Janusz. |
Relator term | editor. |
710 2# - ADDED ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY | |
Title | Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Display text | Printed edition: |
International Standard Book Number | 9783642051760 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
Uniform title | Studies in Computational Intelligence, |
-- | 1860-949X ; |
Volume number/sequential designation | 262 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-05177-7 |
912 ## - | |
-- | ZDB-2-ENG |
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