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155
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RSKT
2007
Springer
15 years 6 months ago
Decision-Theoretic Rough Set Models
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
Yiyu Yao
105
Voted
RECOMB
2007
Springer
16 years 28 days ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey
91
Voted
FORMATS
2003
Springer
15 years 5 months ago
Discrete-Time Rewards Model-Checked
Abstract. This paper presents a model-checking approach for analyzing discrete-time Markov reward models. For this purpose, the temporal logic probabilistic CTL is extended with re...
Suzana Andova, Holger Hermanns, Joost-Pieter Katoe...
EMNLP
2007
15 years 2 months ago
A Topic Model for Word Sense Disambiguation
We develop latent Dirichlet allocation with WORDNET (LDAWN), an unsupervised probabilistic topic model that includes word sense as a hidden variable. We develop a probabilistic po...
Jordan L. Boyd-Graber, David M. Blei, Xiaojin Zhu
99
Voted
ENTCS
2007
126views more  ENTCS 2007»
15 years 18 days ago
Notes on Generative Probabilistic Bisimulation
In this notes we consider the model of Generative Probabilistic Transition Systems, and Baier and Hermanns’ notion of weak bisimulation defined over them. We prove that, if we ...
Simone Tini