Titlebook: Advances in Neuro-Information Processing; 15th International C Mario Köppen,Nikola Kasabov,George Coghill Conference proceedings 2009 Sprin

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书目名称Advances in Neuro-Information Processing影响因子(影响力)




书目名称Advances in Neuro-Information Processing影响因子(影响力)学科排名




书目名称Advances in Neuro-Information Processing网络公开度




书目名称Advances in Neuro-Information Processing网络公开度学科排名




书目名称Advances in Neuro-Information Processing被引频次




书目名称Advances in Neuro-Information Processing被引频次学科排名




书目名称Advances in Neuro-Information Processing年度引用




书目名称Advances in Neuro-Information Processing年度引用学科排名




书目名称Advances in Neuro-Information Processing读者反馈




书目名称Advances in Neuro-Information Processing读者反馈学科排名

跳脱衣舞的人

978-3-642-03039-0Springer-Verlag Berlin Heidelberg 2009

异端

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149176.jpg

生锈

摘要记录

Integral Dependence and the NullstellensatzThis paper considers a kind of symbolic data called Interval-Valued Data (IVD) which stores data intrinsic variability and/or uncertainty from the original data set. Recent works have been proposed to fit the classic linear regression model to symbolic data. However, those works do not consider the

Thyroid-Gland

indoctrinate

Graham J. Leuschke,Roger Wiegandidean distance measure is used. However Euclidean distance measure is optimal distance metric for Gaussian distribution. Often in real life situations, data does not follow the Gaussian distribution. In such a case, one has to resort to error measures other than LMSE which are based on different dis

GEM

施加

Nguyen Tu CUONG,Le Tuan HOA,Ngo Viet TRUNGful, but unlabeled text documents. Targeting on solving these problems, we incorporate a sprinkling Latent Semantic Indexing (LSI) with background knowledge for text classification. The motivation comes from: 1) LSI is a popular technique for information retrieval and it also succeeds in text classi

MOTIF

Nguyen Tu CUONG,Le Tuan HOA,Ngo Viet TRUNGrities only, employing the Kolmogorov complexity as a similiarity measure. This motivates the set of considered clustering algorithms which take into account the similarity between objects exclusively. Compared cluster algorithms are Median kMeans, Median Neural Gas, Relational Neural Gas, Spectral