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FOCI
2007
IEEE
14 years 3 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
14 years 1 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
BMCBI
2004
112views more  BMCBI 2004»
13 years 8 months ago
A double classification tree search algorithm for index SNP selection
Background: In population-based studies, it is generally recognized that single nucleotide polymorphism (SNP) markers are not independent. Rather, they are carried by haplotypes, ...
Peisen Zhang, Huitao Sheng, Ryuhei Uehara
COMPGEOM
2004
ACM
14 years 2 months ago
A 2D kinetic triangulation with near-quadratic topological changes
Given a set of n points S in the plane, a triangulation of S is a subdivision of the convex hull into triangles whose vertices are from S. In the kinetic setting, the input point ...
Pankaj K. Agarwal, Yusu Wang, Hai Yu
DIMVA
2007
13 years 10 months ago
On the Adaptive Real-Time Detection of Fast-Propagating Network Worms
Abstract. We present two light-weight worm detection algorithms that offer significant advantages over fixed-threshold methods. The first algorithm, RBS (ratebased sequential hy...
Jaeyeon Jung, Rodolfo A. Milito, Vern Paxson