1176 search results - page 47 / 236 » Sparse reward processes |
132
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
108
Voted
ICA
2004
Springer
15 years 9 months ago
2004
Springer
A series of recent results shows that if a signal admits a sufficiently sparse representation (in terms of the number of nonzero coefficients) in an “incoherent” dictionary, th...
125
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
132
Voted
BMCV
2000
Springer
15 years 8 months ago
2000
Springer
Recent psychological and neurological evidence suggests that biological object recognition is a process of matching sensed images to stored iconic memories. This paper presents a p...
122
Voted
ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
We propose a quantization design technique (estimator) suitable for new compressed sensing sampling systems whose ultimate goal is classification or detection. The design is base...