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» A Bayesian Approach to Tackling Hard Computational Problems
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AAAI
1996
13 years 9 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
ICML
2007
IEEE
14 years 8 months ago
Infinite mixtures of trees
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
Sergey Kirshner, Padhraic Smyth
MFCS
2010
Springer
13 years 6 months ago
Information Complexity of Online Problems
Abstract. What is information? Frequently spoken about in many contexts, yet nobody has ever been able to define it with mathematical rigor. The best we are left with so far is th...
Juraj Hromkovic, Rastislav Královic, Richar...
MP
2010
116views more  MP 2010»
13 years 6 months ago
Separation algorithms for 0-1 knapsack polytopes
Valid inequalities for 0-1 knapsack polytopes often prove useful when tackling hard 0-1 Linear Programming problems. To generate such inequalities, one needs separation algorithms...
Konstantinos Kaparis, Adam N. Letchford
SIBGRAPI
2005
IEEE
14 years 1 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...