Titlebook: Innovation Networks in the German Laser Industry; Evolutionary Change, Muhamed Kudic Book 2015 Springer International Publishing Switzerlan

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書目名稱Innovation Networks in the German Laser Industry影響因子(影響力)




書目名稱Innovation Networks in the German Laser Industry影響因子(影響力)學(xué)科排名




書目名稱Innovation Networks in the German Laser Industry網(wǎng)絡(luò)公開度




書目名稱Innovation Networks in the German Laser Industry網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Innovation Networks in the German Laser Industry被引頻次




書目名稱Innovation Networks in the German Laser Industry被引頻次學(xué)科排名




書目名稱Innovation Networks in the German Laser Industry年度引用




書目名稱Innovation Networks in the German Laser Industry年度引用學(xué)科排名




書目名稱Innovation Networks in the German Laser Industry讀者反饋




書目名稱Innovation Networks in the German Laser Industry讀者反饋學(xué)科排名

Substance

al information including the microscopic proximity structure and mesoscopic community structure. In particular, both the microscopic proximity structure and node attributes are factorized by Nonnegative Matrix Factorization (NMF), from which the low-dimensional node representations can be obtained.

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Ophthalmoscope

Muhamed Kudics problem. We first get the fuzzy emotion intensity of every sentiment word by solving a fuzzy relation equation, and then utilize an improved fuzzy-rough set method to predict emotion intensity for sentences, paragraphs, and documents. Compared with previous work, our proposed algorithm can simulta

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贊美者

Muhamed KudicQs accurately, we propose the Pattern-Concept-Time-Based (PCTB) method that utilizes query reformulation patterns, concepts behind the queries and the user’s continuous searching behavior to compute the similarity between two queries. To evaluate the effectiveness of our approach, we employ the AOL

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