Genetic Relational Search for Inductive Concept Learning

Name: Genetic Relational Search for Inductive Concept Learning
Price: 67.73 USD
Availability: InStock
ISBN: 9783843355483

ISBN-10: 3843355487

ISBN-13: 9783843355483

Edition: N/A

Authors: Federico Divina

List price: $89.00

30 day, 100% satisfaction guarantee!

Marketplace

1 new & used from $67.73

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

Description:

Learning from examples in First Order Logic, also known as Inductive Logic Programming (ILP), constitutes a central topic in Machine Learning, with relevant applications to problems in complex domains, e.g., natural language and computational biology. Learning can be viewed as a search problem in the space of all possible hypotheses. Given a background knowledge, a set of positive examples and a set of negative examples, expressed in First Order Logic, one has to find a hypothesis which covers all positive examples and none of the negative ones. This problem is NP-hard even if the language to represent hypotheses is propositional logic. When FOL hypotheses are used, this complexity is…

Book details

List price: $89.00
Publisher: Lambert Academic Publishing
Binding: Paperback
Pages: 192
Size: 6.00" wide x 9.00" long x 0.44" tall
Weight: 0.638
Language: English