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ATAL
2010
Springer
15 years 6 months ago
PAC-MDP learning with knowledge-based admissible models
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
Marek Grzes, Daniel Kudenko
ICMT
2010
Springer
15 years 5 months ago
Implementing Business Process Recovery Patterns through QVT Transformations
Traditionally, software maintenance takes only technical information into account to evolve legacy systems. However, business knowledge, which could help to improve the comprehensi...
Ricardo Pérez-Castillo, Ignacio Garcí...
CLIMA
2006
15 years 8 months ago
Adding Evolving Abilities to a Multi-Agent System
This paper reports on a fertile marriage between madAgents, a Java and Prolog based multi-agent platform, and EVOLP, a logic programming based language to represent and reason abou...
João Leite, Luís Soares
FLAIRS
2004
15 years 8 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
ISPA
2007
Springer
16 years 23 days ago
Learning Fuzzy Concept Hierarchy and Measurement with Node Labeling
A concept hierarchy is a kind of general form of knowledge representation. Most of the previous researches on describing the concept hierarchy use tree-like crisp taxonomy. However...
Been-Chian Chien, Chih-Hung Hu, Ming-Yi Ju