509 search results - page 17 / 102 » Using Learning for Approximation in Stochastic Processes |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper addresses an innovative approach to informed enhancement of damaged sound. It uses sparse approximations with a learned dictionary of atoms modeling the main components...
IVC
2007
13 years 7 months ago
2007
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
AMAI
2008
Springer
13 years 7 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
TSMC
1998
13 years 7 months ago
1998
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
DATE
2008
IEEE
14 years 1 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...