Sciweavers

174 search results - page 28 / 35
» Update Rules for Parameter Estimation in Bayesian Networks
Sort
View
IJCNN
2007
IEEE
15 years 3 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
HRI
2007
ACM
15 years 1 months ago
Efficient model learning for dialog management
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
Finale Doshi, Nicholas Roy
IPSN
2005
Springer
15 years 3 months ago
A scheme for robust distributed sensor fusion based on average consensus
— We consider a network of distributed sensors, where each sensor takes a linear measurement of some unknown parameters, corrupted by independent Gaussian noises. We propose a si...
Lin Xiao, Stephen P. Boyd, Sanjay Lall
IJCNN
2007
IEEE
15 years 3 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
CORR
2010
Springer
118views Education» more  CORR 2010»
14 years 9 months ago
Large scale probabilistic available bandwidth estimation
The common utilization-based definition of available bandwidth and many of the existing tools to estimate it suffer from several important weaknesses: i) most tools report a point...
Frederic Thouin, Mark Coates, Michael G. Rabbat