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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 9 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
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 2 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
CVPR
2012
IEEE
13 years 7 months ago
Figure-ground segmentation by transferring window masks
We present a novel technique for figure-ground segmentation, where the goal is to separate all foreground objects in a test image from the background. We decompose the test image...
Daniel Küttel, Vittorio Ferrari
BMCBI
2010
129views more  BMCBI 2010»
15 years 4 months ago
LAITOR - Literature Assistant for Identification of Terms co-Occurrences and Relationships
Background: Biological knowledge is represented in scientific literature that often describes the function of genes/ proteins (bioentities) in terms of their interactions (biointe...
Adriano Barbosa-Silva, Theodoros G. Soldatos, Ivan...
ICFCA
2007
Springer
15 years 8 months ago
A New and Useful Syntactic Restriction on Rule Semantics for Tabular Datasets
Different rule semantics have been successively defined in many contexts such as implications in artificial intelligence, functional dependencies in databases or association rules...
Marie Agier, Jean-Marc Petit