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» Learning with Globally Predictive Tests
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PLDI
2003
ACM
15 years 3 months ago
Predicting whole-program locality through reuse distance analysis
Profiling can accurately analyze program behavior for select data inputs. We show that profiling can also predict program locality for inputs other than profiled ones. Here loc...
Chen Ding, Yutao Zhong
BMCBI
2008
102views more  BMCBI 2008»
14 years 10 months ago
Improving protein function prediction methods with integrated literature data
Background: Determining the function of uncharacterized proteins is a major challenge in the post-genomic era due to the problem's complexity and scale. Identifying a protein...
Aaron Gabow, Sonia M. Leach, William A. Baumgartne...
AAAI
1996
14 years 11 months ago
Bagging, Boosting, and C4.5
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...
J. Ross Quinlan
PPSN
2010
Springer
14 years 7 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
BIOINFORMATICS
2011
14 years 4 months ago
All-atom knowledge-based potential for RNA structure prediction and assessment
Motivation: Over the recent years, the vision that RNA simply serves as information transfer molecule has dramatically changed. The study of the sequence/structure/function relati...
Emidio Capriotti, Tomás Norambuena, Marc A....