881 search results - page 48 / 177 » Spectral Algorithms for Supervised Learning |
112
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
114
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
135
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ACL
2010
15 years 14 days ago
2010
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
106
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
116
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
This paper introduces a new variety of learning classifier system (LCS), called MILCS, which utilizes mutual information as fitness feedback. Unlike most LCSs, MILCS is specifical...