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» Characterization-Free Behavioral Power Modeling
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115
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AINA
2011
IEEE
14 years 1 months ago
Non-invasive Browser Based User Modeling Towards Semantically Enhanced Personlization of the Open Web
—Currently the user’s web search is disjoint from the resources which is subsequently browsed. Specifically the related instances of the search are not displayed on the followi...
Kevin Koidl, Owen Conlan, Lai Wei, Ann Marie Saxto...
ICAC
2009
IEEE
15 years 4 months ago
Multi-perspective evaluation of self-healing systems using simple probabilistic models
In this paper we construct an evaluation framework for a self-healing system, VM-Rejuv – a virtual machine based rejuvenation scheme for web-application servers – using simple...
Rean Griffith, Gail E. Kaiser, Javier Alonso L&oac...
92
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JMLR
2010
202views more  JMLR 2010»
14 years 4 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
TDSC
2010
172views more  TDSC 2010»
14 years 4 months ago
Proactive Detection of Computer Worms Using Model Checking
Although recent estimates are speaking of 200,000 different viruses, worms, and Trojan horses, the majority of them are variants of previously existing malware. As these variants m...
Johannes Kinder, Stefan Katzenbeisser, Christian S...
COLT
2007
Springer
15 years 3 months ago
U-Shaped, Iterative, and Iterative-with-Counter Learning
This paper solves an important problem left open in the literature by showing that U-shapes are unnecessary in iterative learning. A U-shape occurs when a learner first learns, t...
John Case, Samuel E. Moelius