364 search results - page 33 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
119
Voted
NN
2007
Springer
15 years 2 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
120
click to vote
IJCNN
2000
IEEE
15 years 7 months ago
2000
IEEE
A product unit is a formal neuron that multiplies its input values instead of summingthem. Furthermore, it has weights acting as exponents instead of being factors. We investigate...
136
Voted
UAI
2008
15 years 4 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
131
Voted
IDA
2010
Springer
15 years 1 months ago
2010
Springer
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
174
click to vote
EWRL
2008
15 years 4 months ago
2008
A wide variety of function approximation schemes have been applied to reinforcement learning. However, Bayesian filtering approaches, which have been shown efficient in other field...