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001 - NÚMERO DE CONTROL |
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003 - IDENTIFICADOR DEL NÚMERO DE CONTROL |
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SIRSI |
005 - FECHA Y HORA DE LA ULTIMA TRANSACCIÓN |
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20160812084201.0 |
007 - CAMPO FIJO DE DESCRIPCIÓN FIJA--INFORMACIÓN GENERAL |
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100301s2010 gw | s |||| 0|eng d |
020 ## - NÚMERO INTERNACIONAL NORMALIZADO PARA LIBROS |
International Standard Book Number |
9783642051791 |
-- |
978-3-642-05179-1 |
040 ## - FUENTE DE CATALOGACIÓN |
Transcribing agency |
MX-MeUAM |
050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
Classification number |
Q342 |
082 04 - NÚMERO DE CLASIFICACIÓN DECIMAL DEWEY |
Classification number |
006.3 |
Edition number |
23 |
100 1# - ASIENTO PRINCIPAL--NOMBRE PERSONAL |
Personal name |
Koronacki, Jacek. |
Relator term |
editor. |
245 10 - MENCIÓN DE TITULO |
Title |
Advances in Machine Learning II |
Medium |
[recurso electrónico] : |
Remainder of title |
Dedicated to the Memory of Professor Ryszard S.Michalski / |
Statement of responsibility, etc. |
edited by Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Berlin, Heidelberg : |
Name of producer, publisher, distributor, manufacturer |
Springer Berlin Heidelberg, |
Date of production, publication, distribution, manufacture, or copyright notice |
2010. |
300 ## - DESCRIPCIÓN FÍSICA |
Extent |
XIX, 531 p. |
Other physical details |
online resource. |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
490 1# - MENCIÓN DE SERIE |
Series statement |
Studies in Computational Intelligence, |
International Standard Serial Number |
1860-949X ; |
Volume/sequential designation |
263 |
505 0# - NOTA DE CONTENIDO |
Formatted contents note |
General Issues -- Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation -- Toward Interactive Computations: A Rough-Granular Approach -- Data Privacy: From Technology to Economics -- Adapting to Human Gamers Using Coevolution -- Wisdom of Crowds in the Prisoner’s Dilemma Context -- Logical and Relational Learning, and Beyond -- Towards Multistrategic Statistical Relational Learning -- About Knowledge and Inference in Logical and Relational Learning -- Two Examples of Computational Creativity: ILP Multiple Predicate Synthesis and the ‘Assets’ in Theorem Proving -- Logical Aspects of the Measures of Interestingness of Association Rules -- Text and Web Mining -- Clustering the Web 2.0 -- Induction in Multi-Label Text Classification Domains -- Cluster-Lift Method for Mapping Research Activities over a Concept Tree -- On Concise Representations of Frequent Patterns Admitting Negation -- Classification and Beyond -- A System to Detect Inconsistencies between a Domain Expert’s Different Perspectives on (Classification) Tasks -- The Dynamics of Multiagent Q-Learning in Commodity Market Resource Allocation -- Simple Algorithms for Frequent Item Set Mining -- Monte Carlo Feature Selection and Interdependency Discovery in Supervised Classification -- Machine Learning Methods in Automatic Image Annotation -- Neural Networks and Other Nature Inspired Approaches -- Integrative Probabilistic Evolving Spiking Neural Networks Utilising Quantum Inspired Evolutionary Algorithm: A Computational Framework -- Machine Learning in Vector Models of Neural Networks -- Nature Inspired Multi-Swarm Heuristics for Multi-Knowledge Extraction -- Discovering Data Structures Using Meta-learning, Visualization and Constructive Neural Networks -- Neural Network and Artificial Immune Systems for Malware and Network Intrusion Detection -- Immunocomputing for Speaker Recognition. |
520 ## - NOTA DE RESUMEN, ETC. |
Summary, etc. |
This is the second 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. |
596 ## - |
-- |
19 |
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
Engineering. |
650 #0 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
Artificial intelligence. |
650 14 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
Engineering. |
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
Computational Intelligence. |
650 24 - ASIENTO SECUNDARIO DE MATERIA - TERMINO TEMÁTICO |
Topical term or geographic name as entry element |
Artificial Intelligence (incl. Robotics). |
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL |
Personal name |
Ras, Zbigniew W. |
Relator term |
editor. |
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL |
Personal name |
Wierzchon, Slawomir T. |
Relator term |
editor. |
700 1# - ASIENTO SECUNDARIO - NOMBRE PERSONAL |
Personal name |
Kacprzyk, Janusz. |
Relator term |
editor. |
710 2# - ASIENTO SECUNDARIO - NOMBRE CORPORATIVO |
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 |
Relationship information |
Printed edition: |
International Standard Book Number |
9783642051784 |
830 #0 - ASIENTO SECUNDARIO DE SERIE--TITULO UNIFORME |
Uniform title |
Studies in Computational Intelligence, |
International Standard Serial Number |
1860-949X ; |
Volume number/sequential designation |
263 |
856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
<a href="http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-05179-1">http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-05179-1</a> |
942 ## - TIPO DE MATERIAL (KOHA) |
Koha item type |
Libro Electrónico |