79 search results - page 1 / 16 » A Comparison of Model Aggregation Methods for Regression |
ICANN
2003
Springer
13 years 10 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
ESANN
2000
13 years 6 months ago
2000
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
CSDA
2008
13 years 4 months ago
2008
An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regressio...
CSDA
2010
13 years 4 months ago
2010
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...
ESEM
2007
ACM
13 years 8 months ago
2007
ACM
In this paper, we experimentally evaluated the effect of outlier detection methods to improve the prediction performance of fault-proneness models. Detected outliers were removed ...