Local learning regularization networks for localized regression
作者: Yiannis KokkinosKonstantinos G. Margaritis
作者单位: 1University of Macedonia
刊名: Neural Computing and Applications, 2017, Vol.28 (6), pp.1309-1328
来源数据库: Springer Journal
DOI: 10.1007/s00521-016-2569-0
关键词: Local learning algorithmsRegressionParallel processingRegularization networks
英文摘要: Local learning algorithms use a neighborhood of training data close to a given testing query point in order to learn the local parameters and create on-the-fly a local model specifically designed for this query point. The local approach delivers breakthrough performance in many application domains. This paper considers local learning versions of regularization networks (RN) and investigates several options for improving their online prediction performance, both in accuracy and speed. First, we exploit the interplay between locally optimized and globally optimized hyper-parameters (regularization parameter and kernel width) each new predictor needs to optimize online. There is a substantial reduction of the operation cost in the case we use two globally optimized hyper-parameters that are...
原始语种摘要: Local learning algorithms use a neighborhood of training data close to a given testing query point in order to learn the local parameters and create on-the-fly a local model specifically designed for this query point. The local approach delivers breakthrough performance in many application domains. This paper considers local learning versions of regularization networks (RN) and investigates several options for improving their online prediction performance, both in accuracy and speed. First, we exploit the interplay between locally optimized and globally optimized hyper-parameters (regularization parameter and kernel width) each new predictor needs to optimize online. There is a substantial reduction of the operation cost in the case we use two globally optimized hyper-parameters that are...
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影响因子:1.168 (2012)

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关键词翻译
关键词翻译
  • regularization 正则化
  • local 局部的
  • learning 学识
  • optimized 最佳的
  • training 培养
  • parameters 参数
  • accurate 精确的
  • online 联机
  • neighborhood 邻域
  • query 查询