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» Generating Data Analysis Programs from Statistical Models
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BMCBI
2010
167views more  BMCBI 2010»
13 years 9 months ago
Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of met
Background: Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment. While these lists represent an accurat...
Melissa J. Morine, Jolene McMonagle, Sinead Toomey...
LRE
2006
173views more  LRE 2006»
13 years 9 months ago
Automatic induction of language model data for a spoken dialogue system
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
Chao Wang, Grace Chung, Stephanie Seneff
KDD
2009
ACM
219views Data Mining» more  KDD 2009»
14 years 9 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
ICSE
2008
IEEE-ACM
14 years 9 months ago
Incremental state-space exploration for programs with dynamically allocated data
We present a novel technique that speeds up state-space exploration (SSE) for evolving programs with dynamically allocated data. SSE is the essence of explicit-state model checkin...
Steven Lauterburg, Ahmed Sobeih, Darko Marinov, Ma...
NIPS
1997
13 years 10 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung