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ICML
2002
IEEE
14 years 6 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
14 years 6 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
SIGIR
2006
ACM
13 years 11 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
ICCAD
2003
IEEE
195views Hardware» more  ICCAD 2003»
13 years 11 months ago
Vectorless Analysis of Supply Noise Induced Delay Variation
The impact of power supply integrity on a design has become a critical issue, not only for functional verification, but also for performance verification. Traditional analysis has...
Sanjay Pant, David Blaauw, Vladimir Zolotov, Savit...
JSAC
2008
202views more  JSAC 2008»
13 years 5 months ago
Cognitive Wireless Mesh Networks with Dynamic Spectrum Access
Wireless Mesh Networks (WMNs) are envisaged to extend Internet access and other networking services in personal, local, campus, and metropolitan areas. Mesh routers (MR) form the c...
Kaushik R. Chowdhury, Ian F. Akyildiz