74 search results - page 13 / 15 » Regret Bounds for Gaussian Process Bandit Problems |
ICIP
1997
IEEE
14 years 9 months ago
1997
IEEE
We develop a new approach to image denoising based on complexity regularization. This technique presents a flexible alternative to the more conventional l2 , l1 , and Besov regula...
NIPS
2007
13 years 9 months ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
—Nuclear norm minimization (NNM) has recently gained attention for its use in rank minimization problems. In this paper, we define weak, sectional and strong recovery for NNM to...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recently, the maximum likelihood estimator (MLE) and Cramer-Rao Lower Bound (CRLB) were proposed with the goal of maximizing and assessing the synchronization accuracy in wireless...