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» The Use of Classifiers in Sequential Inference
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CCGRID
2008
IEEE
14 years 1 months ago
Using Dynamic Condor-Based Services for Classifying Schizophrenia in Diffusion Tensor Images
— Diffusion Tensor Imaging (DTI) provides insight into the white matter of the human brain, which is affected by Schizophrenia. By comparing a patient group to a control group, t...
Simon Caton, Matthan Caan, Sílvia Delgado O...
ESANN
2006
13 years 8 months ago
Non-linear gating network for the large scale classification model CombNET-II
The linear gating classifier (stem network) of the large scale model CombNET-II has been always the limiting factor which restricts the number of the expert classifiers (branch net...
Mauricio Kugler, Toshiyuki Miyatani, Susumu Kuroya...
NC
1998
102views Neural Networks» more  NC 1998»
13 years 8 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
EMNLP
2010
13 years 5 months ago
Classifying Dialogue Acts in One-on-One Live Chats
We explore the task of automatically classifying dialogue acts in 1-on-1 online chat forums, an increasingly popular means of providing customer service. In particular, we investi...
Su Nam Kim, Lawrence Cavedon, Timothy Baldwin
CVPR
2003
IEEE
14 years 9 months ago
Learning Bayesian Network Classifiers for Facial Expression Recognition using both Labeled and Unlabeled Data
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
Ira Cohen, Nicu Sebe, Fabio Gagliardi Cozman, Marc...