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IBPRIA
2007
Springer
13 years 11 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
Oleg Okun, Helen Priisalu
ICCV
2003
IEEE
14 years 9 months ago
Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
Sanjiv Kumar, Martial Hebert
ITC
1994
IEEE
151views Hardware» more  ITC 1994»
13 years 12 months ago
Automated Logic Synthesis of Random-Pattern-Testable Circuits
Previous approaches to designing random pattern testable circuits use post-synthesis test point insertion to eliminate random pattern resistant (r.p.r.) faults. The approach taken...
Nur A. Touba, Edward J. McCluskey
MICS
2010
134views more  MICS 2010»
13 years 6 months ago
Scale Free Properties of Random k-Trees
Scale free graphs have attracted attention as their non-uniform structure that can be used as a model for many social networks including the WWW and the Internet. In this paper, w...
Colin Cooper, Ryuhei Uehara
AAAI
2000
13 years 9 months ago
Redundancy in Random SAT Formulas
The random k-SAT model is extensively used to compare satisfiability algorithms or to find the best settings for the parameters of some algorithm. Conclusions are derived from the...
Yacine Boufkhad, Olivier Roussel