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CORR
2006
Springer
119views Education» more  CORR 2006»
14 years 11 months ago
Network Inference from Co-Occurrences
The study of networked systems is an emerging field, impacting almost every area of engineering and science, including the important domains of communication systems, biology, soc...
Michael Rabbat, Mário A. T. Figueiredo, Rob...
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 4 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
HCI
2007
15 years 1 months ago
Online Analysis of Hierarchical Events in Meetings
Automatic online analysis of meetings is very important from three points of view: serving as an important archive of a meeting, understanding human interaction processes, and prov...
Xiang Zhang, Guangyou Xu, Xiaoling Xiao, Linmi Tao
INFOCOM
2006
IEEE
15 years 5 months ago
Formal Analysis of Passive Measurement Inference Techniques
Abstract— Verifying the accuracy of a passive measurementsbased inference technique under all possible network scenarios is a difficult challenge - the measurement point has lim...
Sharad Jaiswal, Gianluca Iannaccone, James F. Kuro...
PR
2011
14 years 6 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos