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» A Discriminant Analysis for Undersampled Data
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AUSDM
2006
Springer
122views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Analysis of Breast Feeding Data Using Data Mining Methods
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical surv...
Hongxing He, Huidong Jin, Jie Chen, Damien McAulla...
FTCS
1993
111views more  FTCS 1993»
13 years 9 months ago
Detection and Discrimination of Injected Network Faults
Although the present work does in fact employ training data, it does so in the interest of calibrating the results Six hundred faults were induced by injection into five live obtai...
Roy A. Maxion, Robert T. Olszewski
PAMI
2012
11 years 10 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
NIPS
2007
13 years 9 months ago
Discriminative K-means for Clustering
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
Jieping Ye, Zheng Zhao, Mingrui Wu
BMCBI
2008
93views more  BMCBI 2008»
13 years 7 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt