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ESANN
2004
15 years 5 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
CACM
2010
104views more  CACM 2010»
15 years 4 months ago
Faster dimension reduction
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
Nir Ailon, Bernard Chazelle
CORR
2007
Springer
146views Education» more  CORR 2007»
15 years 3 months ago
Coding for Errors and Erasures in Random Network Coding
Abstract—The problem of error-control in random linear network coding is considered. A “noncoherent” or “channel oblivious” model is assumed where neither transmitter nor...
Ralf Koetter, Frank R. Kschischang
JSAC
2006
104views more  JSAC 2006»
15 years 3 months ago
Queue Proportional Scheduling via Geometric Programming in Fading Broadcast Channels
For fading broadcast channels (BC), a throughput optimal scheduling policy called queue proportional scheduling (QPS) is presented via geometric programming (GP). QPS finds a data ...
Kibeom Seong, Ravi Narasimhan, John M. Cioffi
JUCS
2007
124views more  JUCS 2007»
15 years 3 months ago
An Improved SVM Based on Similarity Metric
: A novel support vector machine method for classification is presented in this paper. A modified kernel function based on the similarity metric and Riemannian metric is applied ...
Chaoyong Wang, Yanfeng Sun, Yanchun Liang