509 search results - page 30 / 102 » Using Learning for Approximation in Stochastic Processes |
130
click to vote
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
129
click to vote
ICIP
2007
IEEE
16 years 4 months ago
2007
IEEE
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
124
Voted
CORR
2010
Springer
14 years 9 months ago
2010
Springer
In this paper we study stochastic dynamic games with many players that are relevant for a wide range of social, economic, and engineering applications. The standard solution conce...
145
click to vote
ROBOCOMM
2007
IEEE
15 years 8 months ago
2007
IEEE
— Consider the following scenario: a spatio-temporal stochastic process generates service requests, localized at points in a bounded region on the plane; these service requests a...
139
click to vote
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Efficient design of cognitive radio networks calls for secondary users implementing adaptive resource allocation, which requires knowledge of the channel state information in ord...