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» The Variability Model of The Linux Kernel
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ICML
2010
IEEE
13 years 7 months ago
Simple and Efficient Multiple Kernel Learning by Group Lasso
We consider the problem of how to improve the efficiency of Multiple Kernel Learning (MKL). In literature, MKL is often solved by an alternating approach: (1) the minimization of ...
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Mic...
BMCBI
2007
138views more  BMCBI 2007»
13 years 6 months ago
A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in 1H NMR metabonomic
Background: A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk asse...
Aki Vehtari, Ville-Petteri Mäkinen, Pasi Soin...
BMCBI
2004
113views more  BMCBI 2004»
13 years 6 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
IEEEARES
2007
IEEE
14 years 1 months ago
Pastures: Towards Usable Security Policy Engineering
Whether a particular computing installation meets its security goals depends on whether the administrators can create a policy that expresses these goals—security in practice re...
Sergey Bratus, Alex Ferguson, Doug McIlroy, Sean W...
ICML
2004
IEEE
14 years 4 days ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi