3694 search results - page 80 / 739 » Stochastic complexity in learning |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively, Stochastic Gradient Boosting (SGB) and Iterated Baggi...
JMLR
2006
13 years 7 months ago
2006
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
IAT
2008
IEEE
13 years 7 months ago
2008
IEEE
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...
DATE
2007
IEEE
14 years 2 months ago
2007
IEEE
As the hardware and software complexity grows, it is unlikely for the power management hardware/software to have a full observation of the entire system status. In this paper, we ...
DATE
2007
IEEE
14 years 2 months ago
2007
IEEE
In this paper we introduce a new algorithm for model order reduction in the presence of parameter or process variation. Our analysis is performed using a graph interpretation of t...