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» On the Learnability of Vector Spaces
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ICML
2007
IEEE
15 years 11 months ago
Direct convex relaxations of sparse SVM
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...
Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanck...
ICML
2005
IEEE
15 years 11 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
ICSE
2007
IEEE-ACM
15 years 10 months ago
DECKARD: Scalable and Accurate Tree-Based Detection of Code Clones
Detecting code clones has many software engineering applications. Existing approaches either do not scale to large code bases or are not robust against minor code modifications. I...
Ghassan Misherghi, Lingxiao Jiang, Stéphane...
HYBRID
2010
Springer
15 years 4 months ago
Accurate hybridization of nonlinear systems
This paper is concerned with reachable set computation for non-linear systems using hybridization. The essence of hybridization is to approximate a non-linear vector field by a s...
Thao Dang, Oded Maler, Romain Testylier
CCS
2009
ACM
15 years 4 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...