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SDM
2010
SIAM
218views Data Mining» more  SDM 2010»
13 years 9 months ago
Confidence-Based Feature Acquisition to Minimize Training and Test Costs
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
Marie desJardins, James MacGlashan, Kiri L. Wagsta...
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 8 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
14 years 2 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
PET
2004
Springer
14 years 1 months ago
Protecting User Data in Ubiquitous Computing: Towards Trustworthy Environments
Abstract. In a Ubiquitous Computing environment, sensors are actively collecting data, much of which can be very sensitive. Data will often be streaming at high rates (video and au...
Yitao Duan, John F. Canny
EVOW
2003
Springer
14 years 27 days ago
Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery
Genetic programming (GP) based data fusion and AdaBoost can both improve in vitro prediction of Cytochrome P450 activity by combining artificial neural networks (ANN). Pharmaceuti...
William B. Langdon, S. J. Barrett, Bernard F. Buxt...