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ICML
2005
IEEE
16 years 14 days ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos
126
Voted
PODC
2009
ACM
16 years 6 days ago
Distributed and parallel algorithms for weighted vertex cover and other covering problems
The paper presents distributed and parallel -approximation algorithms for covering problems, where is the maximum number of variables on which any constraint depends (for example...
Christos Koufogiannakis, Neal E. Young
HICSS
2010
IEEE
167views Biometrics» more  HICSS 2010»
15 years 6 months ago
Bayesian Networks for the Assessment of the Effect of Urbanization on Stream Macroinvertebrates
It is generally acknowledged that macroinvertebrates are good indicators of water quality in streams, as a number of taxa are sensitive to pollution and integrate their response t...
Kenneth H. Reckhow
DATE
2009
IEEE
151views Hardware» more  DATE 2009»
15 years 6 months ago
pTest: An adaptive testing tool for concurrent software on embedded multicore processors
—More and more processor manufacturers have launched embedded multicore processors for consumer electronics products because such processors provide high performance and low powe...
Shou-Wei Chang, Kun-Yuan Hsieh, Jenq Kuen Lee
ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
15 years 6 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...