693 search results - page 120 / 139 » Estimation in covariate-adjusted regression |
NIPS
2007
15 years 20 days ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
SODA
2008
ACM
15 years 20 days ago
2008
ACM
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...
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ICMLA
2004
15 years 19 days ago
2004
Landmarking is a recent and promising metalearning strategy, which defines meta-features that are themselves efficient learning algorithms. However, the choice of landmarkers is m...
NIPS
2004
15 years 19 days ago
2004
We devise and experiment with a dynamical kernel-based system for tracking hand movements from neural activity. The state of the system corresponds to the hand location, velocity,...
NIPS
2003
15 years 18 days ago
2003
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...