2073 search results - page 204 / 415 » Learning for Dynamic Subsumption |
111
Voted
ECIS
2001
15 years 4 months ago
2001
There is a growing sense that knowledge management, to be most effective, must address questions of knowledge creation and innovation in organisational contexts. Therefore, knowle...
125
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UAI
2003
15 years 4 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
162
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ISOLA
2010
Springer
15 years 1 months ago
2010
Springer
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
147
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GECCO
2009
Springer
15 years 21 days ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
124
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ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...