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» Probabilistic topic modeling for genomic data interpretation
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NAACL
2001
14 years 11 months ago
A Probabilistic Earley Parser as a Psycholinguistic Model
In human sentence processing, cognitive load can be defined many ways. This report considers a definition of cognitive load in terms of the total probability of structural options...
John Hale
TOIS
2010
128views more  TOIS 2010»
14 years 7 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
15 years 10 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
ICMAS
1998
14 years 10 months ago
Probabilistic Reasoning in a Distributed Multi-Agent Environment
In this paper, a model is proposed for multi-agent probabilistic reasoning in a distributed environment. Unlike other methods, this model is capable of processing input in a truly...
S. K. Michael Wong, Cory J. Butz
BMCBI
2007
146views more  BMCBI 2007»
14 years 9 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...