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HIS
2004
13 years 7 months ago
A Case-Based Recommender for Task Assignment in Heterogeneous Computing Systems
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
S. Ghanbari, Mohammad Reza Meybodi, Kambiz Badie
FLAIRS
2007
13 years 8 months ago
Case-Based Recommendation of Node Ordering in Planning
Currently, among the fastest approaches to AI task planning we find many forward-chaining heuristic planners, as FF. Most of their good performance comes from the use of domain-i...
Tomás de la Rosa, Angel García Olaya...
EWCBR
2000
Springer
13 years 9 months ago
A Case-Based Reasoning Approach to Collaborative Filtering
Collaborative filtering systems make recommendations based on the accumulation of ratings by many users. The process has a case-based reasoning flavor: recommendations are generate...
Robin D. Burke
IJCAI
2003
13 years 7 months ago
Increasing Dialogue Efficiency in Case-Based Reasoning Without Loss of Solution Quality
Increasing dialogue efficiency in case-based reasoning (CBR) must be balanced against the risk of commitment to a sub-optimal solution. Focusing on incremental query elicitation i...
David McSherry
ICCBR
2007
Springer
13 years 9 months ago
Application of the Revision Theory to Adaptation in Case-Based Reasoning: The Conservative Adaptation
Case-based reasoning aims at solving a problem by the adaptation of the solution of an already solved problem that has been retrieved in a case base. This paper defines an approach...
Jean Lieber