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Computational Learning Theory (Record no. 14283)

000 -LEADER
fixed length control field 04167nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-540-68431-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170515111447.0
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 121227s1997 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540684312
-- 978-3-540-68431-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/3-540-62685-9
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ210.2-211.495
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM1
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
245 10 - TITLE STATEMENT
Title Computational Learning Theory
Medium [electronic resource] :
Remainder of title Third European Conference, EuroCOLT '97 Jerusalem, Israel, March 17–19, 1997 Proceedings /
Statement of responsibility, etc edited by Shai Ben-David.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 1997.
300 ## - PHYSICAL DESCRIPTION
Extent CCCXLVIII, 338 p.
Other physical details online resource.
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-- computer
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-- online resource
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 1208
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Sample compression, learnability, and the Vapnik-Chervonenkis dimension -- Learning boxes in high dimension -- Learning monotone term decision lists -- Learning matrix functions over rings -- Learning from incomplete boundary queries using split graphs and hypergraphs -- Generalization of the PAC-model for learning with partial information -- Monotonic and dual-monotonic probabilistic language learning of indexed families with high probability -- Closedness properties in team learning of recursive functions -- Structural measures for games and process control in the branch learning model -- Learning under persistent drift -- Randomized hypotheses and minimum disagreement hypotheses for learning with noise -- Learning when to trust which experts -- On learning branching programs and small depth circuits -- Learning nearly monotone k-term DNF -- Optimal attribute-efficient learning of disjunction, parity, and threshold functions -- learning pattern languages using queries -- On fast and simple algorithms for finding Maximal subarrays and applications in learning theory -- A minimax lower bound for empirical quantizer design -- Vapnik-Chervonenkis dimension of recurrent neural networks -- Linear Algebraic proofs of VC-Dimension based inequalities -- A result relating convex n-widths to covering numbers with some applications to neural networks -- Confidence estimates of classification accuracy on new examples -- Learning formulae from elementary facts -- Control structures in hypothesis spaces: The influence on learning -- Ordinal mind change complexity of language identification -- Robust learning with infinite additional information.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the refereed proceedings of the Third European Conference on Computational Learning Theory, EuroCOLT'97, held in Jerusalem, Israel, in March 1997. The book presents 25 revised full papers carefully selected from a total of 36 high-quality submissions. The volume spans the whole spectrum of computational learning theory, with a certain emphasis on mathematical models of machine learning. Among the topics addressed are machine learning, neural nets, statistics, inductive inference, computational complexity, information theory, and theoretical physics.
650 #0 - 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 Computers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical logic.
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 Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical Logic and Formal Languages.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computation by Abstract Devices.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ben-David, Shai.
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 9783540626855
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
-- 0302-9743 ;
Volume number/sequential designation 1208
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/3-540-62685-9
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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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