1403 search results - page 96 / 281 » Sampling Techniques for Kernel Methods |
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ML
2012
ACM
13 years 5 months ago
2012
ACM
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
ISI
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. Terrorist events such as suicide bombings are rare yet extremely destructive events. Responses to such events are even rarer, because they require forecasting methods for...
IEEEPACT
1998
IEEE
15 years 2 months ago
1998
IEEE
In this paper, we present efficient methods for multidimensional array redistribution. Based on the previous work, the basic-cycle calculation technique, we present a basic-block ...
ML
2002
ACM
14 years 9 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
CSE
2009
IEEE
15 years 1 months ago
2009
IEEE
Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architectur...