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JAIR
2010
145views more  JAIR 2010»
13 years 6 months ago
Planning with Noisy Probabilistic Relational Rules
Noisy probabilistic relational rules are a promising world model representation for several reasons. They are compact and generalize over world instantiations. They are usually in...
Tobias Lang, Marc Toussaint
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
13 years 5 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
JMLR
2010
157views more  JMLR 2010»
13 years 2 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
NDSS
2006
IEEE
14 years 1 months ago
Modeling Botnet Propagation Using Time Zones
Time zones play an important and unexplored role in malware epidemics. To understand how time and location affect malware spread dynamics, we studied botnets, or large coordinated...
David Dagon, Cliff Changchun Zou, Wenke Lee
CCR
2008
122views more  CCR 2008»
13 years 7 months ago
Cyclops: the AS-level connectivity observatory
In this paper we present Cyclops, a system that collects and displays information of AS-level connectivity extracted from looking glasses, route-servers and BGP tables and updates...
Ying-Ju Chi, Ricardo V. Oliveira, Lixia Zhang