1897 search results - page 21 / 380 » Sparse Additive Machine |
120
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ML
2002
ACM
15 years 4 days ago
2002
ACM
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
100
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We develop a penalized kernel smoothing method for the problem of selecting nonzero elements of the conditional precision matrix, known as conditional covariance selection. This p...
106
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NIPS
2008
15 years 1 months ago
2008
In analogy to the PCA setting, the sparse PCA problem is often solved by iteratively alternating between two subtasks: cardinality-constrained rank-one variance maximization and m...
140
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ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...