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» Learning Continuous Time Bayesian Networks
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ECAI
2010
Springer
13 years 5 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
ASC
2008
13 years 7 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
STOC
2001
ACM
104views Algorithms» more  STOC 2001»
14 years 8 months ago
Spatial gossip and resource location protocols
The dynamic behavior of a network in which information is changing continuously over time requires robust and efficient mechanisms for keeping nodes updated about new information. ...
David Kempe, Jon M. Kleinberg, Alan J. Demers
MMM
2010
Springer
141views Multimedia» more  MMM 2010»
13 years 9 months ago
Slow Intelligence Systems
: Networks and distributed computing systems are becoming increasingly important and at the same time, more and more critical to the world of Information Technology. This rash spre...
Shi-Kuo Chang
POLICY
2004
Springer
14 years 1 months ago
DecisionQoS: An Adaptive, Self-Evolving QoS Arbitration Module for Storage Systems
As a consequence of the current trend towards consolidating computing, storage and networking infrastructures into large centralized data centers, applications compete for shared ...
Sandeep Uttamchandani, Guillermo A. Alvarez, Gul A...