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ICML
2010
IEEE
13 years 10 months ago
Submodular Dictionary Selection for Sparse Representation
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
Andreas Krause, Volkan Cevher
JMLR
2006
145views more  JMLR 2006»
13 years 9 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
JAL
1998
85views more  JAL 1998»
13 years 8 months ago
Isomorph-Free Exhaustive Generation
We describe a very general technique for generating families of combinatorial objects without isomorphs. It applies to almost any class of objects for which an inductive construct...
Brendan D. McKay
ICUMT
2009
13 years 7 months ago
A COP for cooperation in a P2P streaming protocol
This paper introduces a Combinatory Optimization Problem (COP) which captures the performance in cooperation of a P2P Streaming Network, considered at the buffer level. A new famil...
María Elisa Bertinat, Darío Padula, ...
JMLR
2010
149views more  JMLR 2010»
13 years 4 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...