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UAI
1998
15 years 1 months ago
Large Deviation Methods for Approximate Probabilistic Inference
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
Michael J. Kearns, Lawrence K. Saul
GLOBECOM
2010
IEEE
14 years 10 months ago
A Cognitive Transmission Scheme with the Best Relay Selection in Cognitive Radio Networks
In this paper, we propose a cognitive transmission scheme with the best relay selection in a multiple-relay cognitive radio network to improve the secondary transmission performanc...
YuLong Zou, Jia Zhu, Baoyu Zheng, Sulan Tang, Yu-D...
106
Voted
TSP
2010
14 years 7 months ago
An adaptive cooperation diversity scheme with best-relay selection in cognitive radio networks
In this paper, an adaptive cooperation diversity scheme with best-relay selection is proposed for multiple-relay cognitive radio networks to improve the performance of secondary tr...
YuLong Zou, Jia Zhu, Baoyu Zheng, Yu-Dong Yao
68
Voted
MA
2010
Springer
85views Communications» more  MA 2010»
14 years 7 months ago
Tail dependence functions and vine copulas
Tail dependence and conditional tail dependence functions describe, respectively, the tail probabilities and conditional tail probabilities of a copula at various relative scales....
Harry Joe, Haijun Li, Aristidis K. Nikoloulopoulos
81
Voted
MICAI
2009
Springer
15 years 5 months ago
Leukocyte Recognition Using EM-Algorithm
This document describes a method for classifying images of blood cells. Three different classes of cells are used: Band Neutrophils, Eosinophils and Lymphocytes. The image pattern...
Mario Chirinos Colunga, Oscar Sánchez Siord...