Knowledge Representation and Organization in Machine Learning

Name: Knowledge Representation and Organization in Machine Learning
Brand: Springer, Berlin
SKU: 9783540507680
Price: 1147 CZK
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Autor: Katharina Morik

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

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Machine learning has become a rapidly growing field of Artificial Intelligence. Since the First Inte...

Informace o knize

Autor

Katharina Morik

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Stránek

322

EAN

9783540507680

ISBN

354050768X

Enbook ID

01565159

Vydavatel

Springer, Berlin

Hmotnost

481

Rozměry

156 x 234 x 18

Kompletní popis

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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Knowledge Representation and Organization in Machine Learning

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