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UAI
2000
13 years 11 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
IJCAI
1989
13 years 11 months ago
The Reason for the Benefits of Minimax Search
based on an abstract concept of quiescence. In the following we sketch this and a related model, describe the design of our experiments, and present the results of our simulation s...
Anton Scheucher, Hermann Kaindl
BIB
2008
86views more  BIB 2008»
13 years 10 months ago
Recent developments in the MAFFT multiple sequence alignment program
The accuracy and scalability of multiple sequence alignment (MSA) of DNAs and proteins have long been and are still important issues in bioinformatics. To rapidly construct a reas...
Kazutaka Katoh, Hiroyuki Toh
COMCOM
2006
283views more  COMCOM 2006»
13 years 10 months ago
Sleep scheduling for wireless sensor networks via network flow model
The pervasiveness and operational autonomy of mesh-based wireless sensor networks (WSNs) make them an ideal candidate in offering sustained monitoring functions at reasonable cost...
Rick W. Ha, Pin-Han Ho, Sherman X. Shen, Junshan Z...
COMCOM
2006
99views more  COMCOM 2006»
13 years 10 months ago
Applying 4-regular grid structures in large-scale access networks
4-Regular grid structures have been used in multiprocessor systems for decades due to a number of nice properties with regard to routing, protection, and restoration, together wit...
Jens Myrup Pedersen, Ahmed Patel, Thomas Phillip K...