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JMLR
2010
125views more  JMLR 2010»
15 years 1 months ago
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...
Jacek P. Dmochowski, Paul Sajda, Lucas C. Parra
JMLR
2010
154views more  JMLR 2010»
15 years 1 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
EDM
2010
160views Data Mining» more  EDM 2010»
15 years 8 months ago
Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System
Functional magnetic resonance imaging (fMRI) data were collected while students worked with a tutoring system that taught an algebra isomorph. A cognitive model predicted the distr...
Jon M. Fincham, John R. Anderson, Shawn Betts, Jen...
DSS
2002
82views more  DSS 2002»
15 years 6 months ago
On the discovery of process models from their instances
A thorough understanding of the way in which existing business processes currently practice is essential from the perspectives of both process reengineering and workflow managemen...
San-Yih Hwang, Wan-Shiou Yang
IHI
2010
132views Healthcare» more  IHI 2010»
15 years 1 months ago
Section classification in clinical notes using supervised hidden markov model
As more and more information is available in the Electronic Health Record in the form of free-text narrative, there is a need for automated tools, which can process and understand...
Ying Li, Sharon Lipsky Gorman, Noemie Elhadad