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ICASSP
2011
IEEE
14 years 8 months ago
Maximum marginal likelihood estimation for nonnegative dictionary learning
We describe an alternative to standard nonnegative matrix factorisation (NMF) for nonnegative dictionary learning. NMF with the Kullback-Leibler divergence can be seen as maximisa...
Onur Dikmen, Cédric Févotte
TR
2008
164views more  TR 2008»
15 years 4 months ago
Inference Based on Type-II Hybrid Censored Data From a Weibull Distribution
A hybrid censoring scheme is a mixture of Type-I and Type-II censoring schemes. This article presents the statistical inferences on Weibull parameters when the data are Type-II hyb...
Aveek Banerjee, Debasis Kundu
SIBGRAPI
2005
IEEE
15 years 10 months ago
A Maximum-Likelihood Approach for Multiresolution W-Operator Design
The design of W-operators from a set of input/output examples for large windows is a hard problem. From the statistical standpoint, it is hard because of the large number of examp...
Daniel André Vaquero, Junior Barrera, Rober...
ECSQARU
2009
Springer
15 years 11 months ago
Maximum Likelihood Learning of Conditional MTE Distributions
We describe a procedure for inducing conditional densities within the mixtures of truncated exponentials (MTE) framework. We analyse possible conditional MTE specifications and pr...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
JMLR
2010
125views more  JMLR 2010»
14 years 11 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra