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» Prediction error methods for limit cycle data
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112
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ICONIP
2008
15 years 2 months ago
The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
Alexandra Scherbart, Tim W. Nattkemper
125
Voted
CVPR
2012
IEEE
13 years 3 months ago
Modulation transfer function of patch-based stereo systems
A widely used technique to recover a 3D surface from photographs is patch-based (multi-view) stereo reconstruction. Current methods are able to reproduce fine surface details, th...
Ronny Klowsky, Arjan Kuijper, Michael Goesele
85
Voted
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
15 years 6 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...
93
Voted
RECOMB
2003
Springer
16 years 28 days ago
Large scale reconstruction of haplotypes from genotype data
Critical to the understanding of the genetic basis for complex diseases is the modeling of human variation. Most of this variation can be characterized by single nucleotide polymo...
Eleazar Eskin, Eran Halperin, Richard M. Karp
CAEPIA
2003
Springer
15 years 5 months ago
Time-Series Prediction: Application to the Short-Term Electric Energy Demand
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24hour load forecasting problem. Also, based on recorded...
Alicia Troncoso Lora, Jesús Riquelme Santos...