Maximum likelihood hebbian learning based retrieval method for CBR systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2689, Issue , 2003, Pages 107-121

  Corchado, Juan M ^a,e   Corchado, Emilio S ^c,e   Aiken, Jim ^b,e   Fyfe, Colin ^c,e   Fernandez, Florentino ^d,e   Gonzalez, Manuel ^a,e  

^a UNIVERSITY OF SALAMANCA   (Spain)

^b UNIVERSITY OF BURGOS   (Spain)

^c PLYMOUTH MARINE LABORATORY   (United Kingdom)

^d UNIVERSITY OF THE WEST OF SCOTLAND   (United Kingdom)

^e UNIVERSITY OF VIGO   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM LIKELIHOOD; PRINCIPAL COMPONENT ANALYSIS; COMPUTER AIDED SOFTWARE ENGINEERING; DATABASE SYSTEMS; FORMAL LOGIC; INFORMATION RETRIEVAL; LEARNING SYSTEMS; PROBLEM SOLVING;

CASE BASED REASONING SYSTEMS; CBR SYSTEMS; DATA SET; FORECASTING SYSTEM; MAXIMUM LIKELIHOOD HEBBIAN LEARNING; REASONING PROCESS; RETRIEVAL METHODS; SIMILAR CASE;

CASE BASED REASONING; MAXIMUM LIKELIHOOD ESTIMATION;

CASE-BASED REASONING (CBR); MAXIMUM LIKELIHOOD HEBBIAN LEARNING; REASONING STAGES;

EID: 7044236927     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45006-8_11     Document Type: Conference Paper

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