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IJAR
2010
113views more  IJAR 2010»
15 years 4 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»
16 years 10 days 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 6 months 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
16 years 10 days 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
16 years 8 days 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...