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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
14 years 11 months ago
Semi-Supervised Learning Based on Semiparametric Regularization
Semi-supervised learning plays an important role in the recent literature on machine learning and data mining and the developed semisupervised learning techniques have led to many...
Zhen Guo, Zhongfei (Mark) Zhang, Eric P. Xing, Chr...
AIPS
2003
14 years 11 months ago
A Multi-Agent System-driven AI Planning Approach to Biological Pathway Discovery
As genomic and proteomic data is collected from highthroughput methods on a daily basis, subcellular components are identified and their in vitro behavior is characterized. Howev...
Salim Khan, William Gillis, Carl Schmidt, Keith De...
BIODATAMINING
2008
140views more  BIODATAMINING 2008»
14 years 10 months ago
Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics appr
Background: Comorbidity of Major Depressive Disorder (depression) and Alcohol Use Disorders (AUD) is well documented. Depression, AUD, and the comorbidity of depression with AUD s...
Richard C. McEachin, Benjamin J. Keller, Erika F. ...
BMCBI
2006
138views more  BMCBI 2006»
14 years 10 months ago
Determination of strongly overlapping signaling activity from microarray data
Background: As numerous diseases involve errors in signal transduction, modern therapeutics often target proteins involved in cellular signaling. Interpretation of the activity of...
Ghislain Bidaut, Karsten Suhre, Jean-Michel Claver...
EMNLP
2009
14 years 7 months ago
Graphical Models over Multiple Strings
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
Markus Dreyer, Jason Eisner