Titlebook: Handelsrecht; Kristina Hornung Book 1995 Springer Fachmedien Wiesbaden 1995 Handelsfirma.Handelsgesch?ft.Handelsrecht.Handelsregister.Kauf

根深蒂固

書目名稱Handelsrecht影響因子(影響力)




書目名稱Handelsrecht影響因子(影響力)學科排名




書目名稱Handelsrecht網絡公開度




書目名稱Handelsrecht網絡公開度學科排名




書目名稱Handelsrecht被引頻次




書目名稱Handelsrecht被引頻次學科排名




書目名稱Handelsrecht年度引用




書目名稱Handelsrecht年度引用學科排名




書目名稱Handelsrecht讀者反饋




書目名稱Handelsrecht讀者反饋學科排名

忘恩負義的人

Kristina Hornungor self-organizing maps have been proposed. However, many of these only measure one aspect of a SOM or are computationally very expensive or both. Here we present a novel, computationally efficient statistical approach to the evaluation of SOMs. Our approach measures both the embedding and the topological quality of a SOM.

出血

誘騙

resilience

咽下

Kristina Hornungix, which requires at least quadratic complexity and becomes rapidly unfeasible for 100 000 inputs, for instance. In the present manuscript, we propose a sparse version of the online relational SOM, which sequentially increases the composition of the prototypes.

Tremor

周年紀念日

eural Gas require the use of distance metrics to measure the similarities between feature vectors as well as class prototypes. While the Euclidean distance is used in many cases, the highly correlated features within the hyperspectral representation and the high dimensionality itself favor the use o

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Ambulatory

Kristina Hornung noise. These indexes relies on feature maximization, which is an alternative measure to usual distributional measures relying on entropy or on Chi-square metric or vector-based measures such as Euclidean distance or correlation distance. Experiments compare the behavior of these new indexes with us