2683 search results - page 232 / 537 » Machine learning problems from optimization perspective |
119
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
151
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PRL
2008
15 years 3 months ago
2008
This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an a...
152
Voted
PR
2011
14 years 6 months ago
2011
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
155
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NN
2002
Springer
2002
Springer
Optimal design of regularization term and regularization parameter by subspace information criterion
15 years 2 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...
108
Voted
ICDM
2008
IEEE
15 years 9 months ago
2008
IEEE
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...