Machine learning methods for commonsense reasoning processes : (Record no. 58651)

MARC details
000 -LEADER
fixed length control field 02027nam a2200277 a 4500
001 - CONTROL NUMBER
control field vtls000054748
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117150442.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110714t2010 paua f b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781605668109 (hbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781605668116 (ebook)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201112161235
Level of effort used to assign nonsubject heading access points fauzi
-- 201107141220
-- sri
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) Q325.5 .N35 2010
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Naidenova, Xenia
245 10 - TITLE STATEMENT
Title Machine learning methods for commonsense reasoning processes :
Remainder of title interactive models /
Statement of responsibility, etc. Xenia Naidenova
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Hershey, PA :
Name of publisher, distributor, etc. Information Science Reference,
Date of publication, distribution, etc. c2010
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 410 p. :
Other physical details ill. ;
Dimensions 29 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (p. 400-401) and index
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Knowledge in the psychology of thinking and mathematics -- Logic-based reasoning in the framework of artiticial intelligence -- The coordination of commonsense reasoning operations -- The logical rules of commonsense reasoning -- The examples of human connonsense reasoning processes -- Machine learning (ML) as a diagnostic task -- The concept of good classification (diagnostic) test -- The duality of good diagnostic tests -- Towards an integrative model of deductive-inductive commonsense reasoning -- Towards a model of fuzzy commonsense reasoning -- Object-oriented technology for expert system generation -- Case technology for psycho-diagnostic system generation -- Commonsense reasoning in intelligent computer systems
520 ## - SUMMARY, ETC.
Summary, etc. "The main purpose of this book is to demonstrate the possibility of transforming a large class of machine learning algorithms into integrated commonsense reasoning processes in which inductive and deductive inferences are not separated one from another but moreover they are correlated and support one another"--Provided by publisher
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Correlation (Statistics)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Recursive partitioning
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Price effective from Koha item type
  Not lost     UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019 555.58   Q325.5 .N35 2010 0000061377 04/09/2019 1 555.58 04/09/2019 Open Shelf

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