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ICML
2008
IEEE
15 years 11 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
NPC
2005
Springer
15 years 3 months ago
A Performance-Based Parallel Loop Self-scheduling on Grid Computing Environments
Efficient loop scheduling on parallel and distributed systems depends mostly on load balancing, especially on heterogeneous PC-based cluster and grid computing environments. In thi...
Wen-Chung Shih, Chao-Tung Yang, Shian-Shyong Tseng
NETWORKING
2004
14 years 11 months ago
Reducing Packet-Loss by Taking Long-Range Dependences into Account
We show that the "fractal" behavior of Internet traffic can be efficiently and practically employed to significantly reduce packetloss. Thanks to recent advances in the t...
J. Ignacio Alvarez-Hamelin, Pierre Fraigniaud
TSP
2008
134views more  TSP 2008»
14 years 10 months ago
Computational Algorithms for Wavelet Identification of Nonlinearities in Hammerstein Systems With Random Inputs
Abstract-- Simple and efficient computational algorithms for nonparametric wavelet-based identification of nonlinearities in Hammerstein systems driven by random signals are propos...
Przemyslaw Sliwinski, Zygmunt Hasiewicz
PAMI
2007
102views more  PAMI 2007»
14 years 9 months ago
Feature Subset Selection and Ranking for Data Dimensionality Reduction
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
Hua-Liang Wei, Stephen A. Billings