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BMCBI
2004
158views more  BMCBI 2004»
13 years 11 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
WSC
2004
14 years 16 days ago
Some Recent Advances in the Process World View
We discuss a modification of the process world view, a graphical modeling representation language for the modified process world view called Control Flow Graphs (CFGs), an extensi...
Robert G. Sargent
PR
2011
13 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
JMLR
2010
169views more  JMLR 2010»
13 years 6 months ago
Matrix-Variate Dirichlet Process Mixture Models
We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
Zhihua Zhang, Guang Dai, Michael I. Jordan
ACMSE
2004
ACM
14 years 4 months ago
Recent advances in mobility modeling for mobile ad hoc network research
In this paper, we survey recent advances in mobility modeling for mobile ad hoc network research. The advances include some new mobility models and analysis of older mobility mode...
Qunwei Zheng, Xiaoyan Hong, Sibabrata Ray