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» Neural Network Classification and Prior Class Probabilities
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NPL
2008
100views more  NPL 2008»
14 years 9 months ago
Comparing Combination Rules of Pairwise Neural Networks Classifiers
A decomposition approach to multiclass classification problems consists in decomposing a multiclass problem into a set of binary ones. Decomposition splits the complete multiclass ...
Olivier Lezoray, Hubert Cardot
TOOLS
1999
IEEE
15 years 1 months ago
Class Algebra for Ontology Reasoning
Class algebra provides a natural framework for sharing of ISA hierarchies between users that may be unaware of each other's definitions. This permits data from relational dat...
Daniel J. Buehrer, Chee-Hwa Lee
NAACL
2003
14 years 11 months ago
Inducing History Representations for Broad Coverage Statistical Parsing
We present a neural network method for inducing representations of parse histories and using these history representations to estimate the probabilities needed by a statistical le...
James Henderson
PRL
2000
182views more  PRL 2000»
14 years 9 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
CIKM
2010
Springer
14 years 8 months ago
Discriminative factored prior models for personalized content-based recommendation
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
Lanbo Zhang, Yi Zhang 0001