1897 search results - page 41 / 380 » Sparse Additive Machine |
103
Voted
JMLR
2010
14 years 11 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
126
Voted
CORR
2011
Springer
14 years 7 months ago
2011
Springer
We investigate the recovery of signals exhibiting a sparse representation in a general (i.e., possibly redundant or incomplete) dictionary that are corrupted by additive noise adm...
137
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
— We present a new optimization procedure which is particularly suited for the solution of second-order kernel methods like e.g. Kernel-PCA. Common to these methods is that there...
84
Voted
SPAA
1998
ACM
15 years 4 months ago
1998
ACM
Sparse LU factorization with partial pivoting is important for many scienti c applications and delivering high performance for this problem is di cult on distributed memory machin...
117
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PRL
2011
14 years 7 months ago
2011
The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with...