325 search results - page 4 / 65 » Maximum margin planning |
ICML
2009
IEEE
14 years 1 months ago
2009
IEEE
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We describe an alternative to standard nonnegative matrix factorisation (NMF) for nonnegative dictionary learning. NMF with the Kullback-Leibler divergence can be seen as maximisa...
SDM
2008
SIAM
13 years 7 months ago
2008
SIAM
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
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...
ML
2008
ACM
13 years 6 months ago
2008
ACM
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...