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CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 9 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 9 months ago
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
Ryan Prescott Adams, George E. Dahl, Iain Murray
CORR
2008
Springer
86views Education» more  CORR 2008»
13 years 9 months ago
Design by Measure and Conquer, A Faster Exact Algorithm for Dominating Set
The measure and conquer approach has proven to be a powerful tool to analyse exact algorithms for combinatorial problems, like Dominating Set and Independent Set. In this paper, we...
Johan M. M. van Rooij, Hans L. Bodlaender
CORR
2008
Springer
90views Education» more  CORR 2008»
13 years 9 months ago
Silicon on Nothing Mems Electromechanical Resonator
The very significant growth of the wireless communication industry has spawned tremendous interest in the development of high performances radio frequencies (RF) components. Micro...
Cedric Durand, Fabrice Casset, Pacal Ancey, Fabien...
AI
2006
Springer
13 years 9 months ago
The complexity of soft constraint satisfaction
Over the past few years there has been considerable progress in methods to systematically analyse the complexity of constraint satisfaction problems with specified constraint type...
David A. Cohen, Martin C. Cooper, Peter Jeavons, A...