465 search results - page 83 / 93 » Active Learning for Parameter Estimation in Bayesian Network... |
TNN
2008
13 years 8 months ago
2008
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
TNN
2011
13 years 3 months ago
2011
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
CRV
2011
IEEE
12 years 8 months ago
2011
IEEE
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
NN
2010
Springer
13 years 7 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...