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BMCBI
2007
106views more  BMCBI 2007»
15 years 6 months ago
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework
Background: Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Stand...
Michael A. Gilchrist, Hong Qin, Russell L. Zaretzk...
TCS
2008
15 years 6 months ago
Absolute versus probabilistic classification in a logical setting
Suppose we are given a set W of logical structures, or possible worlds, a set of logical formulas called possible data and a logical formula . We then consider the classification p...
Sanjay Jain, Eric Martin, Frank Stephan
CORR
2004
Springer
133views Education» more  CORR 2004»
15 years 6 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 7 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
CONCUR
1994
Springer
15 years 10 months ago
Composition and Behaviors of Probabilistic I/O Automata
We augment the I/O automaton model of Lynch and Tuttle with probability, as a step toward the ultimate goal of obtaining a useful tool for specifying and reasoning about asynchron...
Sue-Hwey Wu, Scott A. Smolka, Eugene W. Stark