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

無緣無故

書目名稱Advances in Neuro-Information Processing影響因子(影響力)




書目名稱Advances in Neuro-Information Processing影響因子(影響力)學(xué)科排名




書目名稱Advances in Neuro-Information Processing網(wǎng)絡(luò)公開度




書目名稱Advances in Neuro-Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Neuro-Information Processing被引頻次




書目名稱Advances in Neuro-Information Processing被引頻次學(xué)科排名




書目名稱Advances in Neuro-Information Processing年度引用




書目名稱Advances in Neuro-Information Processing年度引用學(xué)科排名




書目名稱Advances in Neuro-Information Processing讀者反饋




書目名稱Advances in Neuro-Information Processing讀者反饋學(xué)科排名

跳脫衣舞的人

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

異端

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

生銹

摘要記錄

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