4930 search results - page 66 / 986 » Learning minimal abstractions |
78
Voted
NIPS
2007
15 years 2 months ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
102
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RSFDGRC
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
119
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ECCV
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. The sparse representation has been widely used in many areas and utilized for visual tracking. Tracking with sparse representation is formulated as searching for samples ...
TIT
2008
15 years 13 days ago
2008
Abstract--The ranking problem has become increasingly important in modern applications of statistical methods in automated decision making systems. In particular, we consider a for...
102
Voted
SIAMCOMP
2000
15 years 9 days ago
2000
Abstract. We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and parti...