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DCC
2009
IEEE
15 years 10 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
FOGA
2011
14 years 1 months ago
Approximating the distribution of fitness over hamming regions
The distribution of fitness values across a set of states sharply influences the dynamics of evolutionary processes and heuristic search in combinatorial optimization. In this p...
Andrew M. Sutton, Darrell Whitley, Adele E. Howe
CVPR
2007
IEEE
16 years 15 hour ago
Kernel Sharing With Joint Boosting For Multi-Class Concept Detection
Object/scene detection by discriminative kernel-based classification has gained great interest due to its promising performance and flexibility. In this paper, unlike traditional ...
Wei Jiang, Shih-Fu Chang, Alexander C. Loui
SECON
2008
IEEE
15 years 4 months ago
Decentralized Tick Synchronization for Multi-Hop Medium Slotting in Wireless Ad Hoc Networks Using Black Bursts
—In this paper, we present Black Burst Synchronization (BBS)1 , a novel protocol for decentralized network-wide tick synchronization in wireless ad hoc networks, located at MAC l...
Reinhard Gotzhein, Thomas Kuhn
BMCBI
2010
147views more  BMCBI 2010»
14 years 10 months ago
Indirect two-sided relative ranking: a robust similarity measure for gene expression data
Background: There is a large amount of gene expression data that exists in the public domain. This data has been generated under a variety of experimental conditions. Unfortunatel...
Louis Licamele, Lise Getoor