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» Learning Behavior Models for Hybrid Timed Systems
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TKDE
2010
150views more  TKDE 2010»
15 years 2 months ago
Prospective Infectious Disease Outbreak Detection Using Markov Switching Models
—Accurate and timely detection of infectious disease outbreaks provides valuable information which can enable public health officials to respond to major public health threats in...
Hsin-Min Lu, Daniel Zeng, Hsinchun Chen
CP
2010
Springer
15 years 2 months ago
An Integrated Business Rules and Constraints Approach to Data Centre Capacity Management
A recurring problem in data centres is that the constantly changing workload is not proportionally distributed over the available servers. Some resources may lay idle while others ...
Roman van der Krogt, Jacob Feldman, James Little, ...
CORR
2012
Springer
237views Education» more  CORR 2012»
13 years 12 months ago
Novel Component Based Development Model For Sip-Based Mobile Application
Universities and Institutions these days’ deals with issues related to with assessment of large number of students. Various evaluation methods have been adopted by examiners in ...
Ahmed Barnawi, Abdurrahman H. Al-Talhi, M. Rizwan ...
GECCO
2009
Springer
101views Optimization» more  GECCO 2009»
15 years 10 months ago
Modeling UCS as a mixture of experts
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, ...
WWIC
2010
Springer
193views Communications» more  WWIC 2010»
15 years 8 months ago
0day Anomaly Detection Made Possible Thanks to Machine Learning
Abstract. This paper proposes new cognitive algorithms and mechanisms for detecting 0day attacks targeting the Internet and its communication performances and behavior. For this pu...
Philippe Owezarski, Johan Mazel, Yann Labit