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

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發(fā)表于 2025-3-21 16:51:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Artificial Intelligence Applications and Innovations
期刊簡(jiǎn)稱(chēng)10th IFIP WG 12.5 In
影響因子2023Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopo
視頻videohttp://file.papertrans.cn/163/162098/162098.mp4
學(xué)科分類(lèi)IFIP Advances in Information and Communication Technology
圖書(shū)封面Titlebook: Artificial Intelligence Applications and Innovations; 10th IFIP WG 12.5 In Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopo Conference pr
影響因子This book constitutes the refereed proceedings of the 10th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014. The 33 revised full papers and 29 short papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: learning-ensemble learning; social media and mobile applications of AI; hybrid-changing environments; agent (AGE); classification pattern recognition; genetic algorithms; image and video processing; feature extraction; environmental AI; simulations and fuzzy modeling; and data mining forecasting.
Pindex Conference proceedings 2014
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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
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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.
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,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
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,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
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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
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