495 search results - page 23 / 99 » Approximation algorithms for budgeted learning problems |
ICML
2004
IEEE
14 years 9 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...
INFOCOM
2010
IEEE
13 years 7 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
13 years 7 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...
ICASSP
2011
IEEE
13 years 6 days 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
14 years 9 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 ...