115 search results - page 6 / 23 » Model Selection Through Sparse Maximum Likelihood Estimation |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
Least-squares estimation has always been the main approach when applying prediction error methods (PEM) in the identification of linear dynamical systems. Regardless of the estim...
TSP
2008
13 years 7 months ago
2008
Parameter estimation of a continuous-time Markov chain observed through a discrete-time memoryless channel is studied. An expectation-maximization (EM) algorithm for maximum likeli...
NIPS
2007
13 years 9 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
JMLR
2010
13 years 2 months ago
2010
An algorithm is presented for topology selection in graphical models of autoregressive Gaussian time series. The graph topology of the model represents the sparsity pattern of the...