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162
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
156
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IJCNN
2007
IEEE
16 years 23 days ago
2007
IEEE
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
184
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ICML
2003
IEEE
15 years 11 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
195
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NN
2002
Springer
2002
Springer
Optimal design of regularization term and regularization parameter by subspace information criterion
15 years 6 months ago
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
159
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...