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» Some Methods of Replacing the Nearest Neighbor Method
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ICCS
2005
Springer
14 years 1 months ago
Dimension Reduction for Clustering Time Series Using Global Characteristics
Existing methods for time series clustering rely on the actual data values can become impractical since the methods do not easily handle dataset with high dimensionality, missing v...
Xiaozhe Wang, Kate A. Smith, Rob J. Hyndman
ECML
2004
Springer
14 years 1 months ago
Improving Random Forests
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
Marko Robnik-Sikonja
ISPA
2004
Springer
14 years 29 days ago
A Scalable Low Discrepancy Point Generator for Parallel Computing
The Monte Carlo (MC) method is a simple but effective way to perform simulations involving complicated or multivariate functions. The QuasiMonte Carlo (QMC) method is similar but...
Kwong-Ip Liu, Fred J. Hickernell
WSC
1998
13 years 9 months ago
Using Cooperative Learning to Activate Your Simulation Classroom
Active and cooperative learning methods represent a paradigm shift in the delivery of engineering education. These techniques recognize that the passive model of the typical colle...
Manuel D. Rossetti, Harriet Black Nembhard
ADAC
2010
105views more  ADAC 2010»
13 years 7 months ago
Inference for robust canonical variate analysis
We consider the problem of optimally separating two multivariate populations. Robust linear discriminant rules can be obtained by replacing the empirical means and covariance in th...
Stefan Van Aelst, Gert Willems