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» Stochastic methods for l1 regularized loss minimization
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86
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ICML
2004
IEEE
15 years 11 months ago
Learning with non-positive kernels
In this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that is, kernels which are not positive semidefinite. They do not satisfy Mercer...
Alexander J. Smola, Cheng Soon Ong, Stéphan...
86
Voted
TWC
2010
14 years 5 months ago
Exploiting Mobility Diversity in Sharing Wireless Access: A Game Theoretic Approach
We propose a wireless access scheme which is based on a channel reservation sharing method for a group of mobile users. This proposed scheme exploits the mobility diversity of the ...
Dusit Niyato, Ping Wang, Ekram Hossain, Walid Saad...
91
Voted
ENVSOFT
2007
258views more  ENVSOFT 2007»
14 years 10 months ago
Optimal groundwater monitoring design using an ant colony optimization paradigm
Groundwater long-term monitoring (LTM) is required to assess the performance of groundwater remediation and human being health risk at post-closure sites where groundwater contami...
Yuanhai Li, Amy B. Chan Hilton
99
Voted
CORR
2010
Springer
174views Education» more  CORR 2010»
14 years 7 months ago
A Proof Carrying Code Framework for Inlined Reference Monitors in Java Bytecode
We propose a lightweight approach for certification of Java bytecode monitor inlining using proof-carrying code. The main purpose of such a framework is to enable development use ...
Mads Dam, Andreas Lundblad
94
Voted
CVPR
2008
IEEE
16 years 8 days ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell