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Logic for Learning

Name: Logic for Learning
Brand: Springer, Berlin
SKU: 9783540420279
Price: 208.5 PLN
Availability: InStock

Learning Comprehensible Theories from Structured Data

Autor: John W. Lloyd

Język:

Oprawa: Twarda

Wydawca: Springer, Berlin

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

208.50 zł

This book is concerned with the rich and fruitful interplay between the fields of computational logi...

Informacje o książce

Autor

John W. Lloyd

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2003

strony

257

EAN

9783540420279

ISBN

3540420274

Enbook ID

01563453

Wydawca

Springer, Berlin

Waga

525

Wymiary

156 x 234 x 15

Pełny opis

This book is concerned with the rich and fruitful interplay between the fields of computational logic and machine learning. The intended audience is senior undergraduates, graduate students, and researchers in either of those fields. For those in computational logic, no previous knowledge of machine learning is assumed, and for those in machine learning no previous knowledge of computational logic is assumed.The logic used throughout the book is a higher-order one, since higher-order functions can have other functions as arguments and this capability can be exploited to provide abstractions for knowledge representation, methods for constructing predicates, and a foundation for logic-based computation.The book should be of interest to researchers in machine learning, especially those who study learning methods for structured data. Throughout, great emphasis is placed on learning comprehensible theories. The book serves as an introduction for computational logicians to machine learning, a particularly interesting and important application area of logic, and also provides a foundation for functional logic programming languages.

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Logic for Learning

Learning Comprehensible Theories from Structured Data

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