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Knowledge Representation and Organization in Machine Learning (Lecture Notes in Computer Science) [Paperback]

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Item description for Knowledge Representation and Organization in Machine Learning (Lecture Notes in Computer Science) by Katharina Morik...

Machine learning has become a rapidly growing field of Artificial Intelligence. Since the First International Workshop on Machine Learning in 1980, the number of scientists working in the field has been increasing steadily. This situation allows for specialization within the field. There are two types of specialization: on subfields or, orthogonal to them, on special subjects of interest. This book follows the thematic orientation. It contains research papers, each of which throws light upon the relation between knowledge representation, knowledge acquisition and machine learning from a different angle. Building up appropriate representations is considered to be the main concern of knowledge acquisition for knowledge-based systems throughout the book. Here machine learning is presented as a tool for building up such representations. But machine learning itself also states new representational problems. This book gives an easy-to-understand insight into a new field with its problems and the solutions it offers. Thus it will be of good use to both experts and newcomers to the subject.



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Item Specifications...


Pages   319
Est. Packaging Dimensions:   Length: 9.21" Width: 6.14" Height: 0.71"
Weight:   1.06 lbs.
Binding  Softcover
Release Date   Feb 21, 1989
Publisher   Springer
ISBN  354050768X  
ISBN13  9783540507680  


Availability  69 units.
Availability accurate as of May 24, 2017 01:53.
Usually ships within one to two business days from La Vergne, TN.
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Product Categories

1Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > General
2Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Machine Learning



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