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AIED
2005
Springer
16 years 8 hour ago
Design of Erroneous Examples for ACTIVEMATH
Abstract. The behaviorist view of learning that informs much of traditional schooling is not likely to invite students and teachers to see errors in a positive light. This is parti...
Erica Melis
PKDD
2005
Springer
167views Data Mining» more  PKDD 2005»
15 years 12 months ago
Hybrid Cost-Sensitive Decision Tree
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Shengli Sheng, Charles X. Ling
CIA
2006
Springer
15 years 10 months ago
Improving Example Selection for Agents Teaching Ontology Concepts
Abstract. We present a method to improve the positive examples selection by teaching agents in a multi-agent system in which a team of agent peers teach concepts to a learning agen...
Mohsen Afsharchi, Behrouz H. Far
FLAIRS
2004
15 years 7 months ago
Experience-Based Resource Description and Selection in Multiagent Information Retrieval
In this paper, we propose an agent-centric approach to resource description and selection in a multiagent information retrieval (IR). In the multiagent system, each agent learns f...
Leen-Kiat Soh
AAAI
2004
15 years 7 months ago
Making Better Recommendations with Online Profiling Agents
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
Danny Oh, Chew Lim Tan