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Programming Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models

Posted on 2010-03-16




Name:Programming Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models
ASIN/ISBN:1605668109
Language:English
File size:4.3 Mb
Publish Date: 2009
ISBN: 1605668109
Pages: 410 pages
File Type: PDF
File Size: 4,3 MB
Other Info: Information Science Reference
   Programming Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models

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Xenia Naidenova, "Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models"

The reduction of machine learning algorithms to commonsense reasoning processes is now possible due to the reformulation of machine learning problems as searching the best approximation of a given classification on a given set of examples. Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models provides a unique view on classification as a key to human commonsense reasoning and transforms traditional considerations of data and knowledge communications. Containing leading research evolved from international investigations, this book presents an effective classification of logical rules used in the modeling of commonsense reasoning.

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