1649 search results - page 48 / 330 » Improved Matrix Interpretation |
103
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NIPS
2004
15 years 1 months ago
2004
A new distance measure between probability density functions (pdfs) is introduced, which we refer to as the Laplacian pdf distance. The Laplacian pdf distance exhibits a remarkabl...
70
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
CORR
2008
Springer
15 years 20 days ago
2008
Springer
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
126
Voted
ASAP
2011
IEEE
14 years 17 days ago
2011
IEEE
—Achieving high-performance while reducing power consumption is a key concern as technology scaling is reaching its limits. It is well-accepted that application-specific custom ...
111
Voted
KDD
1995
ACM
15 years 4 months ago
1995
ACM
The Bayesianclassifier is a simple approachto classification that producesresults that are easy for people to interpret. In many cases, the Bayesianclassifieris at leastasaccurate...