283 search results - page 39 / 57 » Bounds on the Generalization Performance of Kernel Machine E... |
TIT
2010
13 years 2 months ago
2010
The plenoptic function (Adelson and Bergen, 91) describes the visual information available to an observer at any point in space and time. Samples of the plenoptic function (POF) a...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
We are interested in supervised ranking with the following twist: our goal is to design algorithms that perform especially well near the top of the ranked list, and are only requir...
ML
2012
ACM
12 years 2 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
EUROSYS
2008
ACM
14 years 4 months ago
2008
ACM
Protecting shared sensitive information is a key requirement for today’s distributed applications. Our research uses virtualization technologies to create and maintain trusted d...