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» Semi-Naive Bayesian Classifier
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NIPS
2001
13 years 9 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
COMPSAC
2008
IEEE
14 years 2 months ago
Entropy-Based Age Estimation of Blog Authors
In this investigation, we propose a probabilistic approach for estimating the ages of Blog authors by means of Naive Bayesian Classifier. We can learn context of characteristic wor...
Masataka Izumi, Takao Miura, Isamu Shioya
FLAIRS
2006
13 years 9 months ago
A Machine Learning Approach to Determine Semantic Dependency Structure in Chinese
In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manual...
Jiajun Yan, David B. Bracewell, Fuji Ren, Shingo K...
FGR
2004
IEEE
94views Biometrics» more  FGR 2004»
13 years 11 months ago
Using Component Features for Face Recognition
In this paper we explore different strategies for classifier combination within the framework of component-based face recognition. In our current system, the gray values of facial...
Yuri Ivanov, Bernd Heisele, Thomas Serre
SSPR
2000
Springer
13 years 11 months ago
A Framework for Classifier Fusion: Is It Still Needed?
We consider the problem and issues of classifier fusion and discuss how they should be reflected in the fusion system architecture. We adopt the Bayesian viewpoint and show how thi...
Josef Kittler