Titlebook: Artificial Intelligence Applications and Innovations; 10th IFIP WG 12.5 In Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopo Conference pr

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書目名稱Artificial Intelligence Applications and Innovations影響因子(影響力)學(xué)科排名




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書目名稱Artificial Intelligence Applications and Innovations網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Artificial Intelligence Applications and Innovations被引頻次




書目名稱Artificial Intelligence Applications and Innovations被引頻次學(xué)科排名




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書目名稱Artificial Intelligence Applications and Innovations年度引用學(xué)科排名




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書目名稱Artificial Intelligence Applications and Innovations讀者反饋學(xué)科排名

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products, accounts, inventory and enterprise assets, etc. while the content includes contracts, reports, emails, customer opinions, transcribed calls, on-line inquires, complements and complaints. Further, cutting edge businesses also using GPS tracking or surveillance monitors as well as sensor te

敲竹杠

outrage

智力高

tems. We propose a trading system which is an upgraded version of the regime-switching recurrent reinforcement learning (RS-RRL) trading system referred to in the literature. In our proposed system (RS-RRL 2.0), we use an automated transition function to model the regime switches in equity returns.

Abjure

,Expertensysteme — State of the Art,al applications such as speaker identification and tracking. Bayesian Information Criteria (.)-based approaches are the most traditionally used ones as they proved to be very effective for such task. The main criticism levelled against .-based approaches is the use of a penalty parameter in the . fu

PRISE

,Expertensysteme — State of the Art,rticular study focuses on online educational videos and more specifically on their speakers. Initially a survey is conducted related to the popularity of educational videos on the YouTube which are then divided into two categories the more popular and the less popular. Then the characteristics relat

ALOFT

contrast-medium

Ziele und Strategien der Werbung,the application of such predictions for effective marketing campaigns. Existing approaches have shown that the information cascades in social media are small and have a large width. We validate these results for Tree-Shaped Tweet Cascades created by the ReTweet action. The main contribution of our w

漂亮