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EWCBR
2004
Springer
13 years 9 months ago
Exploiting Background Knowledge when Learning Similarity Measures
The definition of similarity measures—one core component of every CBR application—leads to a serious knowledge acquisition problem if domain and application specific requirem...
Thomas Gabel, Armin Stahl
EWCBR
2004
Springer
13 years 9 months ago
TempoExpress, a CBR Approach to Musical Tempo Transformations
Abstract. In this paper, we describe a CBR system for applying musically acceptable tempo transformations to monophonic audio recordings of musical performances. Within the tempo t...
Maarten Grachten, Josep Lluís Arcos, Ramon ...
EWCBR
2004
Springer
13 years 9 months ago
An Analysis of Case-Base Editing in a Spam Filtering System
Because of the volume of spam email and its evolving nature, any deployed Machine Learning-based spam filtering system will need to have procedures for case-base maintenance. Key t...
Sarah Jane Delany, Padraig Cunningham
EWCBR
2004
Springer
13 years 9 months ago
Knowledge-Intensive Case-Based Reasoning in CREEK
Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that...
Agnar Aamodt
EWCBR
2004
Springer
13 years 9 months ago
Explanation Service for Complex CBR Applications
Case-based Reasoning (CBR) is a mature technology for building knowledge-based systems that are capable to produce useful results even if no answer matches the query exactly. Often...
Rainer Maximini, Andrea Freßmann, Martin Sch...