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» Robust feature induction for support vector machines
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ICML
2007
IEEE
14 years 8 months ago
Beamforming using the relevance vector machine
Beamformers are spatial filters that pass source signals in particular focused locations while suppressing interference from elsewhere. The widely-used minimum variance adaptive b...
David P. Wipf, Srikantan S. Nagarajan
CDC
2009
IEEE
117views Control Systems» more  CDC 2009»
14 years 9 days ago
Risk sensitive robust support vector machines
— We propose a new family of classification algorithms in the spirit of support vector machines, that builds in non-conservative protection to noise and controls overfitting. O...
Huan Xu, Constantine Caramanis, Shie Mannor, Sungh...
AAAI
2006
13 years 9 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
CVPR
2001
IEEE
14 years 9 months ago
A New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
Salih Burak Göktürk, Carlo Tomasi
ICMLA
2003
13 years 9 months ago
Robust Support Vector Machines for Anomaly Detection in Computer Security
— Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
Wenjie Hu, Yihua Liao, V. Rao Vemuri