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» Sparse probabilistic classifiers
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AIPS
2009
13 years 8 months ago
Lower Bounding Klondike Solitaire with Monte-Carlo Planning
Despite its ubiquitous presence, very little is known about the odds of winning the simple card game of Klondike Solitaire. The main goal of this paper is to investigate the use o...
Ronald Bjarnason, Alan Fern, Prasad Tadepalli
PPAM
2005
Springer
14 years 1 months ago
A New Diagonal Blocking Format and Model of Cache Behavior for Sparse Matrices
Algorithms for the sparse matrix-vector multiplication (shortly SpM×V ) are important building blocks in solvers of sparse systems of linear equations. Due to matrix sparsity, the...
Pavel Tvrdík, Ivan Simecek
ICML
2010
IEEE
13 years 8 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
ICPR
2002
IEEE
14 years 8 months ago
Bayesian Networks as Ensemble of Classifiers
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang
COMAD
2008
13 years 9 months ago
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
Pratibha Rani, Vikram Pudi