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ICANN
2009
Springer
13 years 10 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
POPL
2005
ACM
14 years 6 months ago
Mutatis mutandis: safe and predictable dynamic software updating
Dynamic software updates can be used to fix bugs or add features to a running program without downtime. Essential for some applications and convenient for others, low-level dynami...
Gareth Stoyle, Michael W. Hicks, Gavin M. Bierman,...
CVPR
2006
IEEE
14 years 7 months ago
An Intensity-augmented Ordinal Measure for Visual Correspondence
Determining the correspondence of image patches is one of the most important problems in Computer Vision. When the intensity space is variant due to several factors such as the ca...
Anurag Mittal, Visvanathan Ramesh
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 6 months ago
Extracting shared subspace for multi-label classification
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
BMCBI
2006
242views more  BMCBI 2006»
13 years 5 months ago
Predicting residue-wise contact orders in proteins by support vector regression
Background: The residue-wise contact order (RWCO) describes the sequence separations between the residues of interest and its contacting residues in a protein sequence. It is a ne...
Jiangning Song, Kevin Burrage