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120
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CORR
2012
Springer
185views Education» more  CORR 2012»
13 years 8 months ago
Bayesian network learning with cutting planes
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
James Cussens
101
Voted
AR
2007
99views more  AR 2007»
15 years 27 days ago
Experience-based imitation using RNNPB
Abstract— Robot imitation is a useful and promising alternative to robot programming. Robot imitation involves two crucial issues. The first is how a robot can imitate a human w...
Ryunosuke Yokoya, Tetsuya Ogata, Jun Tani, Kazunor...
95
Voted
CVPR
2009
IEEE
15 years 7 months ago
Robust guidewire tracking in fluoroscopy
A guidewire is a medical device inserted into vessels during image guided interventions for balloon inflation. During interventions, the guidewire undergoes non-rigid deformation...
Peng Wang, Terrence Chen, Ying Zhu, Wei Zhang, Sha...
BMCBI
2006
118views more  BMCBI 2006»
15 years 25 days ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...
107
Voted
ICASSP
2009
IEEE
14 years 10 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori