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BMCBI
2006
146views more  BMCBI 2006»
14 years 12 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
JAIR
2002
163views more  JAIR 2002»
14 years 11 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
AUTOMATICA
2002
95views more  AUTOMATICA 2002»
14 years 11 months ago
Series expansions for analytic systems linear in control
This paper presents a series expansion for the evolution of a class of nonlinear systems characterized by constant input vector fields. We present a series expansion that can be c...
Francesco Bullo
COMPSAC
1996
IEEE
15 years 4 months ago
Optimal Linear Hashing Files for Orthogonal Range Retrieval
In this paper, we are concerned with the problem of designing optimal linear hashing files for orthogonal range retrieval. Through the study of performance expressions, we show th...
C. Y. Chen, Chin-Chen Chang, Richard C. T. Lee, D....
FOSSACS
2004
Springer
15 years 5 months ago
Soft lambda-Calculus: A Language for Polynomial Time Computation
Soft linear logic ([Lafont02]) is a subsystem of linear logic characterizing the class PTIME. We introduce Soft lambda-calculus as a calculus typable in the intuitionistic and affi...
Patrick Baillot, Virgile Mogbil