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118
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ISMIS
2005
Springer
15 years 9 months ago
Learning the Daily Model of Network Traffic
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
Costantina Caruso, Donato Malerba, Davide Papagni
143
Voted
IPPS
2010
IEEE
15 years 24 days ago
A simple thermal model for multi-core processors and its application to slack allocation
Abstract--Power density and heat density of multicore processor system are increasing exponentially with Moore's Law. High temperature on chip greatly affects its reliability,...
Zhe Wang, Sanjay Ranka
PPOPP
2012
ACM
13 years 11 months ago
Internally deterministic parallel algorithms can be fast
The virtues of deterministic parallelism have been argued for decades and many forms of deterministic parallelism have been described and analyzed. Here we are concerned with one ...
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gib...
ICCV
2005
IEEE
16 years 5 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
115
Voted
IJCAI
1997
15 years 4 months ago
Model Minimization, Regression, and Propositional STRIPS Planning
Propositional STRIPS planning problems can be viewed as finite state automata (FSAs) represented in a factored form. Automaton minimization is a well-known technique for reducing ...
Robert Givan, Thomas Dean