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IBPRIA
2007
Springer
15 years 7 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
16 years 5 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»
15 years 7 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»
15 years 1 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
15 years 4 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