Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models (Premier Reference Source) - Hardcover

Naidenova, Xenia

 
9781605668109: Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models (Premier Reference Source)
Hardcover
ISBN 10: 1605668109 ISBN 13: 9781605668109
Verlag: Information Science Reference, 2009

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Xenia Naidenova is a senior researcher of the Group of Psycho Diagnostic Systems’ Automation at the Military Medical Academy (St. Petersburg, Russia). She is currently the head of Project DIALOG: Methods of Data Mining in Psychological and Physiological Diagnostics. Dr. Naidenova received a diploma of engineering with a specialty in computer engineering (1963) and a PhD in technical sciences (1979), both from the Lenin Electro-Technical Institute of Leningrad. In 1999 she received a senior researcher diploma from the Military Medical Academy (St. Petersburg, Russia). She has guided the development of several program systems on knowledge acquisition and machine learning including DEFINE, SIZIF, CLAST, LAD, and diagnostic test machines and has published over 150 papers. Dr. Naidenova is a member of the Russian Association for Artificial Intelligence and is on the Program Committee for the KDS.

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Verlag
Information Science Reference
Erscheinungsdatum
2009
Sprache
Englisch
ISBN 10 
1605668109
ISBN 13 
9781605668109
Einband
Gebundene Ausgabe
Anzahl der Seiten
426
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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