Inductive Logic Programming (Record no. 53217)

000 -LEADER
fixed length control field 03605nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-319-23708-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420221302.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151226s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319237084
-- 978-3-319-23708-4
082 04 - CLASSIFICATION NUMBER
Call Number 005.131
245 10 - TITLE STATEMENT
Title Inductive Logic Programming
Sub Title 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers /
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 211 p. 62 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Reframing on Relational Data -- Inductive Learning using Constraint-driven Bias -- Nonmonotonic Learning in Large Biological Networks -- Construction of Complex Aggregates with Random Restart Hill-Climbing -- Logical minimisation of meta-rules within Meta-Interpretive Learning -- Goal and plan recognition via parse trees using prefix and infix probability computation -- Effectively creating weakly labeled training examples via approximate domain knowledge -- Learning Prime Implicant Conditions From Interpretation Transition -- Statistical Relational Learning for Handwriting Recognition -- The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions -- Towards machine learning of predictive models from ecological data -- PageRank, ProPPR, and Stochastic Logic Programs -- Complex aggregates over clusters of elements -- On the Complexity of Frequent Subtree Mining in Very Simple Structures.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Conference on Inductive Logic Programming, ILP 2014, held in Nancy, France, in September 2014. The 14 revised papers presented were carefully reviewed and selected from 41 submissions. The papers focus on topics such as the inducing of logic programs, learning from data represented with logic, multi-relational machine learning, learning from graphs, and applications of these techniques to important problems in fields like bioinformatics, medicine, and text mining.
700 1# - AUTHOR 2
Author 2 Davis, Jesse.
700 1# - AUTHOR 2
Author 2 Ramon, Jan.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-23708-4
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Koha item type eBooks
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
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-- computer
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-- rdamedia
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-- online resource
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer programming.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computers.
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-- Computer logic.
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-- Mathematical logic.
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-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical Logic and Formal Languages.
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-- Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Programming Techniques.
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-- Information Systems Applications (incl. Internet).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Logics and Meanings of Programs.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computation by Abstract Devices.
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-- 0302-9743 ;
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