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» Training of Support Vector Machines with Mahalanobis Kernels
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ICML
2005
IEEE
14 years 8 months ago
Learning class-discriminative dynamic Bayesian networks
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
John Burge, Terran Lane
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
14 years 8 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 8 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
ICAS
2006
IEEE
139views Robotics» more  ICAS 2006»
14 years 1 months ago
Predicting Resource Demand in Dynamic Utility Computing Environments
— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
Artur Andrzejak, Sven Graupner, Stefan Plantikow
ICMCS
2009
IEEE
148views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Classification-Based relay selection for video streaming over wireless multihop networks
Real-time streaming of audiovisual content over wireless networks is emerging as an important technology in multimedia communication. In this paper, we present a classification-ba...
Mei-Hsuan Lu, Yu-Hsiang Bosco Chiu, Tsuhan Chen