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BMCBI
2006
198views more  BMCBI 2006»
13 years 8 months ago
Gene selection and classification of microarray data using random forest
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
Ramón Díaz-Uriarte, Sara Alvarez de ...
BMCBI
2006
105views more  BMCBI 2006»
13 years 8 months ago
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
Background: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive unde...
Akira R. Kinjo, Ken Nishikawa
STOC
2002
ACM
118views Algorithms» more  STOC 2002»
14 years 9 months ago
On the advantage over a random assignment
: We initiate the study of a new measure of approximation. This measure compares the performance of an approximation algorithm to the random assignment algorithm. This is a useful ...
Johan Håstad, Srinivasan Venkatesh
GLOBECOM
2009
IEEE
14 years 3 months ago
Secure Degrees of Freedom for Gaussian Channels with Interference: Structured Codes Outperform Gaussian Signaling
—In this work, we prove that a positive secure degree of freedom is achievable for a large class of real Gaussian channels as long as the channel is not degraded and the channel ...
Xiang He, Aylin Yener
FOCS
2008
IEEE
13 years 9 months ago
A Dichotomy Theorem for the Resolution Complexity of Random Constraint Satisfaction Problems
We consider random instances of constraint satisfaction problems where each variable has domain size O(1), each constraint is on O(1) variables and the constraints are chosen from...
Siu On Chan, Michael Molloy