2103 search results - page 86 / 421 » Approximate Learning of Dynamic Models |
133
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
147
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NIPS
1994
15 years 6 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
153
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CVPR
2000
IEEE
16 years 6 months ago
2000
IEEE
Design and development of novel human-computer interfaces poses a challenging problem: actions and intentions of users have to be inferred from sequences of noisy and ambiguous mu...
137
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RTCSA
2007
IEEE
15 years 11 months ago
2007
IEEE
An important property in a sensor network is the monitoring of temporal changes of hazardous situations such as forest fires. Rescue groups need to be aware of dynamic changes th...
134
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EVOW
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. In this paper we propose a new benchmark problem for dynamic combinatorial optimisation. Unlike most previous benchmarks, we focus primarily on the underlying dynamics of...