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» Selection of Generative Models in Classification
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BMCBI
2006
94views more  BMCBI 2006»
14 years 10 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
ICIP
2010
IEEE
14 years 8 months ago
Statistical modeling of the lung nodules in low dose computed tomography scans of the chest
This work presents a novel approach in automatic detection of the lung nodules and is compared with respect to parametric nodule models in terms of sensitivity and specificity. A ...
Amal A. Farag, James Graham, Salwa Elshazly, Aly F...
NIPS
2008
14 years 11 months ago
Hierarchical Fisher Kernels for Longitudinal Data
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Zhengdong Lu, Todd K. Leen, Jeffrey Kaye
CSDA
2008
154views more  CSDA 2008»
14 years 10 months ago
Independent factor discriminant analysis
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
Angela Montanari, Daniela G. Calò, Cinzia V...
ASWC
2006
Springer
15 years 1 months ago
Transformation from OWL Description to Resource Space Model
Abstract. Semantics shows diversity in real world, document world, mental abstraction world and machine world. Transformation between semantics pursues the uniformity in the divers...
Hai Zhuge, Peng Shi, Yunpeng Xing, Chao He