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129
Voted
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 4 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
260
Voted
AVSS
2009
IEEE
15 years 10 months ago
Towards Generic Detection of Unusual Events in Video Surveillance
—In this paper, we consider the challenging problem of unusual event detection in video surveillance systems. The proposed approach makes a step toward generic and automatic dete...
Ivan Ivanov, Frédéric Dufaux, Thien ...
158
Voted
CIDM
2009
IEEE
15 years 10 months ago
An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software
—  Identifying faulty classes in object-oriented software is one of the important software quality assurance activities. This paper empirically investigates the application of t...
Hamoud I. Aljamaan, Mahmoud O. Elish
121
Voted
PKDD
2009
Springer
138views Data Mining» more  PKDD 2009»
15 years 10 months ago
Margin and Radius Based Multiple Kernel Learning
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
Huyen Do, Alexandros Kalousis, Adam Woznica, Melan...
121
Voted
BIBE
2007
IEEE
142views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations
—Interactions between transcription factors (TFs) are necessary for deciphering the complex mechanisms of transcription regulation in eukaryotes. In this paper, we proposed a nov...
Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, Se...