37 search results - page 3 / 8 » Learning algorithms for online principal-agent problems (and... |
CORR
2010
Springer
13 years 2 months ago
2010
Springer
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
COLT
2007
Springer
14 years 1 months ago
2007
Springer
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
NIPS
2008
13 years 8 months ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...