82 search results - page 4 / 17 » Learning Selective Averaged One-Dependence Estimators for Pr... |
179
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ICANN
2005
Springer
16 years 15 days ago
2005
Springer
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
166
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
We consider the least-square linear regression problem with regularization by the 1-norm, a problem usually referred to as the Lasso. In this paper, we present a detailed asymptot...
195
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ML
2002
ACM
15 years 6 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...
178
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DAC
1999
ACM
15 years 11 months ago
1999
ACM
We present a new approach for estimation and optimization of the average stand-by power dissipation in large MOS digital circuits. To overcome the complexity of state dependence i...
203
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ICML
1997
IEEE
15 years 11 months ago
1997
IEEE
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...