Advances in Machine Learning I (Record no. 23193)

MARC details
000 -LEADER
fixed length control field 05852nam 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 20170628035137.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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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 XIX, 521 p.
Other physical details online resource.
336 ## -
-- text
-- txt
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-- computer
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-- rdamedia
338 ## -
-- online resource
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347 ## -
-- text file
-- PDF
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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 <a href="http://dx.doi.org/10.1007/978-3-642-05177-7">http://dx.doi.org/10.1007/978-3-642-05177-7</a>
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-- ZDB-2-ENG
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Central Library Central Library 28/06/2017 Springer EBook   E-46372 28/06/2017 28/06/2017 E-Book

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