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UAI
2008
15 years 15 days ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy
87
Voted
IJON
1998
163views more  IJON 1998»
14 years 10 months ago
Normalized Gaussian Radial Basis Function networks
: The performances of Normalised RBF (NRBF) nets and standard RBF nets are compared in simple classification and mapping problems. In Normalized RBF networks, the traditional roles...
Guido Bugmann
70
Voted
ICML
2005
IEEE
15 years 12 months ago
Incomplete-data classification using logistic regression
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
David Williams, Xuejun Liao, Ya Xue, Lawrence Cari...
ICONIP
2008
15 years 16 days ago
A Notable Swarm Approach to Evolve Neural Network for Classification in Data Mining
This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed ...
Satchidananda Dehuri, Bijan Bihari Misra, Sung-Bae...
93
Voted
ICPR
2004
IEEE
16 years 5 days ago
Bayesian Face Recognition Based on Gaussian Mixture Models
Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...
Xiaogang Wang, Xiaoou Tang