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ML
2000
ACM
185views Machine Learning» more  ML 2000»
14 years 9 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
IJCNN
2008
IEEE
15 years 4 months ago
Long-term prediction of time series using NNE-based projection and OP-ELM
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...
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ICANN
2001
Springer
15 years 2 months ago
Sparse Kernel Regressors
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
Volker Roth
EXTREME
2004
ACM
15 years 3 months ago
Automated Quality Assurance for Heuristic-Based XML Creation Systems
Large volumes of XML document instances are created by conversion systems that rely on heuristic-based tagging. Quality assurance is typically conducted on individual document ins...
Bruce Rosenblum, Irina Golfman
SMA
2008
ACM
162views Solid Modeling» more  SMA 2008»
14 years 9 months ago
Fast and robust bootstrap
The Least Trimmed Squares (LTS) estimator is a frequently used robust estimator of regression. When it comes to inference for the parameters of the regression model, the asymptoti...
Matias Salibian-Barrera, Stefan Van Aelst, Gert Wi...