160 search results - page 29 / 32 » Adaptive importance sampling in general mixture classes |
BMCBI
2008
13 years 8 months ago
2008
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
SIGCSE
2010
ACM
14 years 1 months ago
2010
ACM
Despite the proven success of using computer video games as a context for teaching introductory programming (CS1/2) courses, barriers including the lack of adoptable materials, re...
CIKM
2009
Springer
14 years 11 days ago
2009
Springer
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
BMCBI
2007
13 years 8 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
UAI
1997
13 years 9 months ago
1997
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...