87 search results - page 11 / 18 » The regularized least squares algorithm and the problem of l... |
ICMLA
2004
13 years 9 months ago
2004
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
AAAI
2006
13 years 9 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
IDA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper a novel approach for semi-supervised hyperspectral unmixing is presented. First, it is shown that this problem inherently accepts a sparse solution. Then, based on t...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...