3607 search results - page 135 / 722 » Learning with structured sparsity |
134
Voted
NPL
2006
15 years 2 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
131
Voted
CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
117
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VLDB
1998
ACM
15 years 6 months ago
1998
ACM
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
114
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ICML
1996
IEEE
16 years 3 months ago
1996
IEEE
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
127
Voted
CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
We optimize over the set of corrected laplacians (CL) associated with a weighted graph to improve the average case normalized cut (NCut) of a graph. Unlike edge-relaxation SDPs, o...