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AEPIA
2002
159views more  AEPIA 2002»
13 years 7 months ago
Analysing Rough Sets weighting methods for Case-Based Reasoning Systems
Case-Based Reasoning systems retrieve cases using a similarity function based on the K-NN or some derivatives. These functions are sensitive to irrelevant, interacting or noisy fe...
Maria Salamó, Elisabet Golobardes
ICCBR
2010
Springer
13 years 5 months ago
Taxonomic Semantic Indexing for Textual Case-Based Reasoning
Abstract. Case-Based Reasoning (CBR) solves problems by reusing past problemsolving experiences maintained in a casebase. The key CBR knowledge container therefore is its casebase....
Juan A. Recio-García, Nirmalie Wiratunga
ICCBR
2001
Springer
14 years 5 days ago
A Case-Based Reasoning View of Automated Collaborative Filtering
From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be...
Conor Hayes, Padraig Cunningham, Barry Smyth
IADIS
2008
13 years 9 months ago
A Case-Based Reasoning System to Forecast the Presence Of Oil Slicks
After an oil spill it is essential to know if an area is going to be affected by the oil slicks generated. The system presented here forecasts the presence or not of oil slicks in...
Juan M. Corchado, Aitor Mata, Juan Francisco de Pa...
ECAI
1990
Springer
13 years 11 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt