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ICML
2005
IEEE
16 years 7 months ago
Fast maximum margin matrix factorization for collaborative prediction
Maximum Margin Matrix Factorization (MMMF) was recently suggested (Srebro et al., 2005) as a convex, infinite dimensional alternative to low-rank approximations and standard facto...
Jason D. M. Rennie, Nathan Srebro
ICML
2003
IEEE
16 years 7 months ago
Margin Distribution and Learning
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
Ashutosh Garg, Dan Roth
ICML
2003
IEEE
16 years 7 months ago
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
Matthew Richardson, Pedro Domingos
ICML
2001
IEEE
16 years 7 months ago
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
Nicholas Roy, Andrew McCallum
ISBI
2002
IEEE
16 years 7 months ago
3-D reconstruction of DNA filaments from stereo cryo-electron micrographs
We propose an algorithm for the 3-D reconstruction of DNA filaments from a pair of stereo cryo-electron micrographs. The underlying principle is to specify a 3-D model of a filame...
Mathews Jacob, Thierry Blu, Michael Unser
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