2485 search results - page 240 / 497 » Distributed parameter estimation in networks |
106
Voted
NN
2010
Springer
14 years 11 months ago
2010
Springer
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
69
Voted
ICC
2007
IEEE
15 years 4 months ago
2007
IEEE
A new statistical channel model known as the Multiple Scatterer Channel (MSC) is developed to capture the time variations of both line-of-sight (LOS) and non-line-of-sight (NLOS) f...
49
Voted
ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
132
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DICTA
2003
15 years 2 months ago
2003
Abstract. This paper proposes a new adaptive wavelet-based Magnetic Resonance images denoising algorithm. A Rician distribution for background-noise modelling is introduced and a M...
84
Voted
CORR
2010
Springer
15 years 22 days ago
2010
Springer
The two parameter Poisson-Dirichlet process is also known as the PitmanYor Process and related to the Chinese Restaurant Process, is a generalisation of the Dirichlet Process, and...