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IJAR
2010
113views more  IJAR 2010»
14 years 10 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
15 years 6 months ago
Clustering Distributed Time Series in Sensor Networks
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...
Jie Yin, Mohamed Medhat Gaber
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 8 days ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
HPDC
2008
IEEE
15 years 6 months ago
Key-based consistency and availability in structured overlay networks
Structured Overlay Networks provide a promising platform for high performance applications since they are scalable, fault-tolerant and self-managing. Structured overlays provide l...
Tallat M. Shafaat, Thorsten Schütt, Monika Mo...
PIMRC
2008
IEEE
15 years 6 months ago
A Distributed IP Mobility Approach for 3G SAE
—Future generations of mobile operator networks, based on an all-IP-based flat architecture and a multitude of different access technologies, require a proper IP-based mobility ...
Mathias Fischer, Frank-Uwe Andersen, Andreas K&oum...