<span>Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning techniques to solve problems based on past experiences or cases. Given a problem to be solved, reasoning involves the use of methods to retrieve similar pa
Case-based Reasoning. A Concise Introduction
β Scribed by Beatriz LΓ³pez
- Publisher
- Morgan & Claypool
- Year
- 2013
- Tongue
- English
- Leaves
- 87
- Series
- Synthesis Lectures on Artificial Intelligence and Machine Learning 20
- Category
- Library
No coin nor oath required. For personal study only.
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<p><p>While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based reaΒsoning (CBR) can be viewed as experience mining, with analogical reasoning applied
<p>Case-based reasoning is one of the fastest growing areas in the field of knowledge-based systems and this book, authored by a leader in the field, is the first comprehensive text on the subject. Case-based reasoning systems are systems that store information about situations in their memory. As
Case-based reasoning (CBR) has received a great deal of attention in recent years and has established itself as a core methodology in the field of artificial intelligence. The key idea of CBR is to tackle new problems by referring to similar problems that have already been solved in the past. More p