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Encyclopedia of Machine Learning and Data Science (Record no. 116222)

000 -LEADER
fixed length control field 05784nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-1-4899-7502-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190726112502.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190617s2019 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781489975027
-- 978-1-4899-7502-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4899-7502-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Encyclopedia of Machine Learning and Data Science
Medium [electronic resource] /
Statement of responsibility, etc edited by Dinh Phung, Geoffrey I. Webb, Claude Sammut.
260 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New York, NY :
Name of publisher, distributor, etc Springer US :
-- Imprint: Springer,
Date of publication, distribution, etc 2019.
300 ## - PHYSICAL DESCRIPTION
Extent XXV, 1975 p. 600 illus.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
338 ## -
-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Abduction -- Adaptive Resonance Theory -- Anomaly Detection -- Bayes Rule -- Case-Based Reasoning -- Categorical Data Clustering -- Causality -- Clustering from Data Streams -- Complexity in Adaptive Systems -- Complexity of Inductive Inference -- Computational Complexity of Learning -- Confusion Matrix -- Connections Between Inductive Inference and Machine Learning -- Covariance Matrix -- Decision List -- Decision Lists and Decision Trees -- Decision Tree -- Deep Learning -- Density-Based Clustering -- Dimensionality Reduction -- Document Classification -- Dynamic Memory Model -- Empirical Risk Minimization -- Error Rate -- Event Extraction from Media Texts -- Evolutionary Clustering -- Evolutionary Computation in Economics -- Evolutionary Computation in Finance -- Evolutionary Computational Techniques in Marketing -- Evolutionary Feature Selection and Construction -- Evolutionary Kernel Learning -- Evolutionary Robotics -- Expectation Maximization Clustering -- Expectation Propagation -- Feature Construction in Text Mining -- Feature Selection -- Feature Selection in Text Mining -- Gaussian Distribution -- Gaussian Process -- Generative and Discriminative Learning -- Grammatical Inference -- Graphical Models -- Hidden Markov Models -- Inductive Inference -- Inductive Logic Programming -- Inductive Programming -- Inductive Transfer -- Inverse Reinforcement Learning -- Kernel Methods -- K-Means Clustering -- K-Medoids Clustering -- K-Way Spectral Clustering -- Learning Algorithm Evaluation -- Learning Graphical Models -- Learning Models of Biological Sequences -- Learning to Rank -- Learning Using Privileged Information -- Linear Discriminant -- Linear Regression -- Locally Weighted Regression for Control -- Machine Learning and Game Playing -- Manhattan Distance -- Maximum Entropy Models for Natural Language Processing -- Mean Shift -- Metalearning -- Minimum Description Length Principle -- Minimum Message Length -- Mixture Model -- Model Evaluation -- Model Trees -- Multi Label Learning -- Naïve Bayes -- Occam's Razor -- Online Controlled Experiments and A/B Testing -- Online Learning -- Opinion Stream Mining -- PAC Learning -- Partitional Clustering -- Phase Transitions in Machine Learning.
520 ## - SUMMARY, ETC.
Summary, etc This authoritative, expanded and updated third edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core information for those seeking entry into any aspect within the broad field of Machine Learning and Data Mining. A paramount work, its 1000 entries – over 200 of them newly updated or added --are filled with valuable literature references, providing the reader with a portal to more detailed information on any given topic.Topics for the Encyclopedia of Machine Learning and Data Science include recent developments in Deep Learning, Learning and Logic, Data Mining, Applications, Text Mining, Statistical Learning, Reinforcement Learning, Pattern Mining, Graph Mining, Relational Mining, Evolutionary Computation, Information Theory, Behavior Cloning, and many others. Topics were selected by a distinguished international advisory board. Each peer-reviewed, highly-structured entry includes a definition, key words, an illustration, applications, a bibliography, and links to related literature.The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals who employ machine learning and data mining methods in their projects. Machine learning and data mining techniques have countless applications, including data science applications, and this reference is essential for anyone seeking quick access to vital information on the topic.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Optical pattern recognition.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
-- http://scigraph.springernature.com/things/product-market-codes/I21000
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
-- http://scigraph.springernature.com/things/product-market-codes/I18030
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics and Computing/Statistics Programs.
-- http://scigraph.springernature.com/things/product-market-codes/S12008
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern Recognition.
-- http://scigraph.springernature.com/things/product-market-codes/I2203X
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Phung, Dinh.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Webb, Geoffrey I.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sammut, Claude.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature Living Reference
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-1-4899-7502-7
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type e-Book

No items available.


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