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ICML
2004
IEEE
14 years 10 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
PODS
2006
ACM
127views Database» more  PODS 2006»
14 years 9 months ago
Evolution of page popularity under random web graph models
The link structure of the Web can be viewed as a massive graph. The preferential attachment model and its variants are well-known random graph models that help explain the evoluti...
Rajeev Motwani, Ying Xu 0002
ICC
2008
IEEE
127views Communications» more  ICC 2008»
14 years 3 months ago
On the Devolution of Large-Scale Sensor Networks in the Presence of Random Failures
—In battery-constrained large-scale sensor networks, nodes are prone to random failures due to various reasons, such as energy depletion and hostile environment. Random failures ...
Fei Xing, Wenye Wang
CAV
2001
Springer
154views Hardware» more  CAV 2001»
14 years 24 days ago
Automated Verification of a Randomized Distributed Consensus Protocol Using Cadence SMV and PRISM
We consider the randomized consensus protocol of Aspnes and Herlihy for achieving agreement among N asynchronous processes that communicate via read/write shared registers. The alg...
Marta Z. Kwiatkowska, Gethin Norman, Roberto Segal...
ATAL
2008
Springer
13 years 11 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...