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HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
16 years 15 days ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...
LREC
2008
131views Education» more  LREC 2008»
15 years 7 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
NIPS
2007
15 years 7 months ago
Probabilistic Matrix Factorization
Many existing approaches to collaborative filtering can neither handle very large datasets nor easily deal with users who have very few ratings. In this paper we present the Prob...
Ruslan Salakhutdinov, Andriy Mnih
ATAL
2003
Springer
15 years 11 months ago
Information-driven phase changes in multi-agent coordination
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
Sven Brueckner, H. Van Dyke Parunak
ICMLA
2010
15 years 3 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...