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Machine learning methods for commons...

Naidenova, Xenia, (1940-)

Machine learning methods for commonsense reasoning processes :interactive models /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine learning methods for commonsense reasoning processes :Xenia Naidenova.
Reminder of title:	interactive models /
Author:	Naidenova, Xenia,
Published:	Hershey, PA :Information Science Reference,c2010.
Description:	xiv, 410 p. :ill. ;29 cm.
Notes:	"Premier reference source"--Cover.
Subject:	Correlation (Statistics)
ISBN:	9781605668109 :

Machine learning methods for commonsense reasoning processes :interactive models /
Naidenova, Xenia,1940-

Machine learning methods for commonsense reasoning processes :interactive models /Xenia Naidenova. - Hershey, PA :Information Science Reference,c2010. - xiv, 410 p. :ill. ;29 cm.

"Premier reference source"--Cover.

Includes bibliographical references and index.

"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.

ISBN: 9781605668109 :NT$4928

LCCN: 2009021595Subjects--Topical Terms:

230080
Correlation (Statistics)

LC Class. No.: Q325.5 / .N35 2010

Dewey Class. No.: 006.3/1

Machine learning methods for commonsense reasoning processes :interactive models /
LDR:01020nam 2200217 a 4500 001 224258
005 20091214150448.0
008 091217s2010 paua b 001 0 eng
010 $a 2009021595
020 $a 9781605668109 : $c NT$4928
020 $a 9781605668116 (ebook)
035 $a 00051242
040 $a DLC $c DLC
041 0 $a eng
050 0 0 $a Q325.5 $b .N35 2010
082 0 0 $a 006.3/1 $2 22
100 1 $a Naidenova, Xenia, $d 1940- $3 359991
245 1 0 $a Machine learning methods for commonsense reasoning processes : $b interactive models / $c Xenia Naidenova.
260 $a Hershey, PA : $c c2010. $b Information Science Reference,
300 $a xiv, 410 p. : $b ill. ; $c 29 cm.
500 $a "Premier reference source"--Cover.
504 $a Includes bibliographical references and index.
520 $a "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 $a Correlation (Statistics) $3 230080
650 0 $a Recursive partitioning. $3 359992
650 0 $a Machine learning. $3 188639