862 search results - page 13 / 173 » Regularized Learning with Networks of Features |
COLT
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
ICMLA
2009
14 years 9 months ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
107
click to vote
ECML
2007
Springer
15 years 5 months ago
2007
Springer
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
104
click to vote
ICPR
2010
IEEE
15 years 4 months ago
2010
IEEE
We present a low resolution face recognition technique based on a Convolutional Neural Network approach. The network is trained to reconstruct a reference per subject image. In cl...
108
click to vote
PRL
2011
14 years 6 months ago
2011
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...