509 search results - page 31 / 102 » Using Learning for Approximation in Stochastic Processes |
105
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
101
Voted
FLAIRS
1998
15 years 3 months ago
1998
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
114
Voted
ICASSP
2008
IEEE
15 years 8 months ago
2008
IEEE
A class of nonlinear transformation-based filters (NLTF) for state estimation is proposed. The nonlinear transformations that can be used include first (TT1) and second (TT2) or...
122
click to vote
NIPS
2007
15 years 3 months ago
2007
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
114
click to vote
ML
2008
ACM
15 years 2 months ago
2008
ACM
Most search techniques within ILP require the evaluation of a large number of inconsistent clauses. However, acceptable clauses typically need to be consistent, and are only found ...