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 ...
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...
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...
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...
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...