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Reducing one class of machine learning algorithms to logical operations of plausible reasoning

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Journal of Computer and Systems Sciences International : Volume 48, Issue 2, April 2009

Journal of Computer and Systems Sciences International : Volume 48, Issue 1, February 2009

Journal of Computer and Systems Sciences International : Volume 47

Journal of Computer and Systems Sciences International : Volume 46

Journal of Computer and Systems Sciences International : Volume 45

Reducing one class of machine learning algorithms to logical operations of plausible reasoning

Content Provider	Springer Nature Link
Author	Naideva, K. A.
Copyright Year	2009
Abstract	The ways to transform a wide class of machine learning algorithms into processes of plausible reasoning based on known deductive and inductive rules of inference are shown. The employed approach to machine learning problems is based on the concept of a good classification (diagnostic) test for a given set of positive and negative examples. The problem of inferring all good diagnostic tests is to search for the best approximations of the given classification (partition or the partitioning) on the established set of examples. The theory of algebraic lattice is used as a mathematical language to construct algorithms of inferring good classification tests. The advantage of the algebraic lattice is that it is given both as a declarative structure, i.e., the structure for knowledge representation, and as a system of dual operations used to generate elements of this structure. In this work, algorithms of inferring good tests are decomposed into subproblems and operations that are the main rules of plausible human inductive and deductive reasoning. The process of plausible reasoning is considered as a sequence of three mental acts: implementing the rule of reasoning (inductive or deductive)with obtaining a new assertion, refining the boundaries of reasoning domain, and choosing a new rule of reasoning (deductive or inductive one).
Starting Page	401
Ending Page	414
Page Count	14
File Format	PDF
ISSN	10642307
Journal	Journal of Computer and Systems Sciences International
Volume Number	48
Issue Number	3
e-ISSN	15556530
Language	English
Publisher	SP MAIK Nauka/Interperiodica
Publisher Date	2009-06-23
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Control Robotics Mechatronics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Theoretical Computer Science Computer Networks and Communications Control and Systems Engineering Information Systems Computer Vision and Pattern Recognition Software

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