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» Prediction on Spike Data Using Kernel Algorithms
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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 9 months ago
Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
The rigid all-versus-all adjacency required by a maximal biclique for its two vertex sets is extremely vulnerable to missing data. In the past, several types of quasi-bicliques ha...
Jinyan Li, Kelvin Sim, Guimei Liu, Limsoon Wong
JMLR
2010
110views more  JMLR 2010»
13 years 2 months ago
Attribute Selection Based on FRiS-Compactness
Commonly to classify new object in Data Mining one should estimate its similarity with given classes. Function of Rival Similarity (FRiS) is assigned to calculate quantitative mea...
Nikolay G. Zagoruiko, Irina V. Borisova, Vladimir ...
INFOCOM
2012
IEEE
11 years 10 months ago
Scaling social media applications into geo-distributed clouds
—Federation of geo-distributed cloud services is a trend in cloud computing which, by spanning multiple data centers at different geographical locations, can provide a cloud plat...
Yu Wu, Chuan Wu, Bo Li 0001, Linquan Zhang, Zongpe...
RECOMB
2006
Springer
14 years 8 months ago
New Methods for Detecting Lineage-Specific Selection
Abstract. So far, most methods for identifying sequences under selection based on comparative sequence data have either assumed selectional pressures are the same across all branch...
Adam C. Siepel, Katherine S. Pollard, David Haussl...
IPPS
2007
IEEE
14 years 2 months ago
Packet Loss Burstiness: Measurements and Implications for Distributed Applications
Many modern massively distributed systems deploy thousands of nodes to cooperate on a computation task. Network congestions occur in these systems. Most applications rely on conge...
David X. Wei, Pei Cao, Steven H. Low