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» Boosting Methods for Regression
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ESEM
2007
ACM
14 years 2 months ago
Comparison of Outlier Detection Methods in Fault-proneness Models
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 ...
Shinsuke Matsumoto, Yasutaka Kamei, Akito Monden, ...
DAGM
2006
Springer
14 years 1 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann
COLING
2002
13 years 10 months ago
An Automatic Evaluation Method for Localization Oriented Lexicalised EBMT System
To help developing a localization oriented EBMT system, an automatic machine translation evaluation method is implemented which adopts edit distance, cosine correlation and Dice c...
Jianmin Yao, Ming Zhou, Tiejun Zhao, Hao Yu, Sheng...
ICCS
2007
Springer
14 years 4 months ago
A New Method to Model Neighborhood Interaction in Cellular Automata-Based Urban Geosimulation
Local spatial interaction (i.e. neighborhood interaction) between land-use types is an important component in Cellular Automata -based urban geosimulation models. Herein a new meth...
Yaolong Zhao, Yuji Murayama
CSDA
2010
122views more  CSDA 2010»
13 years 10 months ago
A comparison of design and model selection methods for supersaturated experiments
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...
Christopher J. Marley, David C. Woods