1419 search results - page 111 / 284 » Approximation Methods for Supervised Learning |
102
Voted
CORR
2010
Springer
15 years 19 days ago
2010
Springer
In this paper, we consider the problem of planning and learning in the infinite-horizon discounted-reward Markov decision problems. We propose a novel iterative direct policysearc...
126
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Hashing based Approximate Nearest Neighbor (ANN) search has attracted much attention due to its fast query time and drastically reduced storage. However, most of the hashing metho...
138
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CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
102
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...