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ICML
2009
IEEE
16 years 7 months ago
A majorization-minimization algorithm for (multiple) hyperparameter learning
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng
ICPR
2000
IEEE
15 years 10 months ago
Wavelet Based Texture Classification
Textures are one of the basic features in visual searching and computational vision. In the literature, most of the attention has been focussed on the texture features with minima...
Nicu Sebe, Michael S. Lew
COR
2006
94views more  COR 2006»
15 years 6 months ago
Computing obnoxious 1-corner polygonal chains
We consider an obnoxious facility location problem in which the facility is a trajectory consisting of a bounded length polygonal chain of two edges having extremes anchored at tw...
José Miguel Díaz-Báñez...
TOMACS
2002
101views more  TOMACS 2002»
15 years 6 months ago
Efficient simulation of a tandem Jackson network
In this paper we consider a two-node tandem Jackson network. Starting from a given state, we are interested in estimating the probability that the content of the second buffer exc...
Dirk P. Kroese, Victor F. Nicola
ICASSP
2009
IEEE
16 years 1 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...