4235 search results - page 20 / 847 » Process Spaces |
ICML
2009
IEEE
16 years 19 days ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
DATE
2010
IEEE
15 years 4 months ago
2010
IEEE
Abstract—Media processing systems often have limited resources and strict performance requirements. An implementation must meet those design constraints while minimizing resource...
CCA
2005
Springer
15 years 5 months ago
2005
Springer
In the Type-2 Theory of Effectivity, one considers representations of topological spaces in which infinite words are used as “names” for the elements they represent. Given s...
104
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NIPS
2003
15 years 1 months ago
2003
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
143
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NFM
2011
14 years 6 months ago
2011
Abstract. In parametric Markov Decision Processes (PMDPs), transition probabilities are not fixed, but are given as functions over a set of parameters. A PMDP denotes a family of ...