JRS - Data Mining Competition: Topical Classification of Biomedical Research Papers, special event of Joint Rough Sets SymposiumVincent Claveau. IRISA Participation in JRS 2012 Data-Mining Challenge: Lazy-Learning with Vectorization. In J.T. Yao et al., editor, Proceedings of the 8th International ...
Webb, G.I. (2016). Lazy Learning. In: Sammut, C., Webb, G. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7502-7_449-1 Download citation .BIB DOIhttps://doi.org/10.1007/978-1-4899-7502-7_449-1 Received03 June...
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated
“Hoffman”,“Chad Johnson”, etc.). The gaps among the distributions of the instances related to different names hinder the further improvement of the previous approaches. This paper proposes a lazy learning model, which allows us to improve the learning process ...
Lazyvs.eagerlearning Lazylearning(e.g.,instance-basedlearning):Simplystorestrainingdata(oronlyminorprocessing)andwaitsuntilitisgivenatesttuple Eagerlearning(theabovediscussedmethods):Givenasetoftrainingset,constructsaclassificationmodelbeforereceivingnew(e.g.,test)datatoclassify Lazy:lesstimeintrainingbutmoretim...
内容提示: 2004.4 计算机工程与应用1引言数据挖掘 (Data Mining) , 也称数据开采, 数据采掘等, 是按照既定的业务目标从海量数据中提取出潜在的、 有效的并能被人理解的模式的高级处理过程[1]。数据挖掘的两个高层目标是预测和描述, 前者指用一些变量或者数据库的若干已知字段预测其它感兴趣的变量或者字段的未知的...
He joined the Department of Computer Science & Technology of Nanjing University as a lecturer in 2001, and is a professor and head of the LAMDA group at present. His research interests mainly include artificial intelligence, machine learning, data mining, pattern recognition, information retrieval, ...
Though nave Bayesian classifier is simple and has good performance on many data sets, its attribute independence assumption does not always exist in the real world. Its performance is poor while the assumption is violated. In order to relax this assumption, L2DLNB( Lazy Learning Based Double Laye...
In some cases, data-deseasonalization is found to improve the prediction accuracy of the models. Finally, some striking features of lazy learning deserve consideration: the LL predictor can be quickly designed, and, thanks to the simplicity of the local linear regressors, it both gets rid of ...
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang text-classification-cnn-rnn Forked fromgaussic/text-classification-cnn-rnn CNN-RNN中文文本分类,基于TensorFlow Python 0 contributions in the last year Learn how we count contributions. ...