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» Nonmonotonic Inferences in Neural Networks
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ECAI
2010
Springer
13 years 4 months ago
Continuous Conditional Random Fields for Regression in Remote Sensing
Conditional random fields (CRF) are widely used for predicting output variables that have some internal structure. Most of the CRF research has been done on structured classificati...
Vladan Radosavljevic, Slobodan Vucetic, Zoran Obra...
JOCN
2010
104views more  JOCN 2010»
13 years 4 months ago
Spatial Attention Evokes Similar Activation Patterns for Visual and Auditory Stimuli
■ Neuroimaging studies suggest that a fronto-parietal network is activated when we expect visual information to appear at a specific spatial location. Here we examined whether a...
David V. Smith, Ben Davis, Kathy Niu, Eric W. Heal...
NIPS
1998
13 years 7 months ago
Learning to Estimate Scenes from Images
We seek the scene interpretation that best explains image data. For example, we may want to infer the projected velocities (scene) which best explain two consecutive image frames ...
William T. Freeman, Egon C. Pasztor
IJCNN
2006
IEEE
14 years 3 days ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...
PLDI
1995
ACM
13 years 9 months ago
Corpus-Based Static Branch Prediction
Correctly predicting the direction that branches will take is increasingly important in today’s wide-issue computer architectures. The name program-based branch prediction is gi...
Brad Calder, Dirk Grunwald, Donald C. Lindsay, Jam...