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61
Voted
JMLR
2010
14 years 4 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
AH
2004
Springer
15 years 1 months ago
2004
Springer
Abstract. This paper presents an approach that uses the techniques of plan recognition not only to infer short-term plans and goals, but also to infer the long-term procedural know...
NIPS
1998
14 years 11 months ago
1998
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
NIPS
1997
14 years 11 months ago
1997
This paper describes some of the interactions of model learning algorithms and planning algorithms we have found in exploring model-based reinforcement learning. The paper focuses...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
For Hidden Markov Models (HMMs) with fully connected transition models, the three fundamental problems of evaluating the likelihood of an observation sequence, estimating an optim...