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JMLR
2006
145views more  JMLR 2006»
15 years 6 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
HICSS
2009
IEEE
108views Biometrics» more  HICSS 2009»
16 years 1 months ago
Approximate Dynamic Programming in Knowledge Discovery for Rapid Response
One knowledge discovery problem in the rapid response setting is the cost of learning which patterns are indicative of a threat. This typically involves a detailed follow-through,...
Peter Frazier, Warren B. Powell, Savas Dayanik, Pa...
IPPS
2008
IEEE
16 years 1 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...
SIGCSE
2005
ACM
98views Education» more  SIGCSE 2005»
16 years 7 days ago
A multi-institutional investigation of computer science seniors' knowledge of programming concepts
Research on learning suggests the importance of helping students organize their knowledge around meaningful patterns of information. This paper reports on a multi-institutional st...
Laurie Murphy, Renée McCauley, Suzanne West...
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
16 years 2 days ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho