495 search results - page 23 / 99 » Approximation algorithms for budgeted learning problems |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
122
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INFOCOM
2010
IEEE
14 years 8 months ago
2010
IEEE
—In this paper we consider the problem of maximizing wireless network capacity (a.k.a. one-shot scheduling) in both the protocol and physical models. We give the first distribut...
JGO
2010
14 years 8 months ago
2010
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
119
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we develop a low-complexity message passing algorithm for joint support and signal recovery of approximately sparse signals. The problem of recovery of strictly spa...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...