Knowledge Representation and Organization in Machine Learning

Name: Knowledge Representation and Organization in Machine Learning
Brand: Springer, Berlin
SKU: 9783540507680
Price: 212.57 PLN
Availability: InStock

Autor: Katharina Morik

Język:

Oprawa: Miękka

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy

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

Informacje o książce

Autor

Katharina Morik

Język

Angielski

Oprawa

Książka - Miękka

strony

322

EAN

9783540507680

ISBN

354050768X

Enbook ID

01565159

Wydawca

Springer, Berlin

Waga

481

Wymiary

156 x 234 x 18

Pełny opis

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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