Case-Based Reasoning (Record no. 84812)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 02991nam a22005175i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-01562-5 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730163629.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2013 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031015625 |
-- | 978-3-031-01562-5 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | López, Beatriz. |
245 10 - TITLE STATEMENT | |
Title | Case-Based Reasoning |
Sub Title | A Concise Introduction / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2013. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XV, 87 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Artificial Intelligence and Machine Learning, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- The Case-Base -- Reasoning and Decision Making -- Learning -- Formal Aspects -- Summary and Beyond. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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 past cases in order to reuse their solution for the problem at hand. Once the problem has been solved, learning methods can be applied to improve the knowledge based on past experiences. In spite of being a broad methodology applied in industry and services, case-based reasoning has often been forgotten in both artificial intelligence and machine learning books. The aim of this book is to present a concise introduction to case-based reasoning providing the essential building blocks for the design of case-based reasoning systems, as well as to bring together the main research lines in this field to encourage students to solve current CBR challenges. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-01562-5 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2013. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Machine learning. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Neural networks (Computer science) . |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Machine Learning. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical Models of Cognitive Processes and Neural Networks. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1939-4616 |
912 ## - | |
-- | ZDB-2-SXSC |
No items available.