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COLT
2004
Springer
16 years 20 hour ago
Learning Classes of Probabilistic Automata
Abstract. Probabilistic finite automata (PFA) model stochastic languages, i.e. probability distributions over strings. Inferring PFA from stochastic data is an open field of rese...
François Denis, Yann Esposito
CLA
2007
15 years 8 months ago
Policies Generalization in Reinforcement Learning using Galois Partitions Lattices
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
Marc Ricordeau, Michel Liquiere
AAAI
2004
15 years 8 months ago
The Independent LifeStyle AssistantTM (I.L.S.A.): AI Lessons Learned
The Independent LifeStyle AssistantTM (I.L.S.A.) is an agentbased monitoring and support system to help elderly people to live longer in their homes by reducing caregiver burden. ...
Karen Zita Haigh, Liana M. Kiff, Janet Myers, Vale...
ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
16 years 7 days ago
Speech-Based Visual Concept Learning Using Wordnet
Modeling visual concepts using supervised or unsupervised machine learning approaches are becoming increasing important for video semantic indexing, retrieval, and filtering appli...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
15 years 5 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...