Sciweavers

EWCBR
2006
Springer
15 years 7 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
75
Voted
EWCBR
2006
Springer
15 years 7 months ago
Ontology-Driven Development of Conversational CBR Systems
Hector Gómez-Gauchía, Belén D...
EWCBR
2006
Springer
15 years 7 months ago
Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners
Abstract. In both research fields, Case-Based Reasoning and Reinforcement Learning, the system under consideration gains its expertise from experience. Utilizing this fundamental c...
Thomas Gabel, Martin Riedmiller
EWCBR
2006
Springer
15 years 7 months ago
What Evaluation Criteria Are Right for CCBR? Considering Rank Quality
Abstract. Evaluation criteria for conversational CBR (CCBR) systems are important to guide development and tuning of new methods, and to enable practitioners to make informed decis...
Steven Bogaerts, David B. Leake