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» Phase Transitions for Greedy Sparse Approximation Algorithms
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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 5 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
RECOMB
2010
Springer
15 years 6 months ago
The Clark Phase-able Sample Size Problem: Long-Range Phasing and Loss of Heterozygosity in GWAS
A phase transition is taking place today. The amount of data generated by genome resequencing technologies is so large that in some cases it is now less expensive to repeat the exp...
Bjarni V. Halldórsson, Derek Aguiar, Ryan T...

Publication
433views
15 years 8 months ago
Optimal Feature Selection for Subspace Image Matching
Image matching has been a central research topic in computer vision over the last decades. Typical approaches for correspondence involve matching features between images. In this p...
Gemma Roig, Xavier Boix, Fernando De la Torre
PKDD
2009
Springer
147views Data Mining» more  PKDD 2009»
15 years 6 months ago
Kernel Polytope Faces Pursuit
Abstract. Polytope Faces Pursuit (PFP) is a greedy algorithm that approximates the sparse solutions recovered by 1 regularised least-squares (Lasso) [4,10] in a similar vein to (Or...
Tom Diethe, Zakria Hussain
NIPS
2004
15 years 29 days ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson