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Titlebook: Artificial Intelligence and Innovations 2007: From Theory to Applications; Proceedings of the 4 Christos Boukis,Aristodemos Pnevmatikakis,L

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發(fā)表于 2025-3-21 19:35:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Artificial Intelligence and Innovations 2007: From Theory to Applications
期刊簡(jiǎn)稱(chēng)Proceedings of the 4
影響因子2023Christos Boukis,Aristodemos Pnevmatikakis,Lazaros
視頻videohttp://file.papertrans.cn/163/162220/162220.mp4
發(fā)行地址Most recent volume from the AIAI conference series.Includes supplementary material:
學(xué)科分類(lèi)IFIP Advances in Information and Communication Technology
圖書(shū)封面Titlebook: Artificial Intelligence and Innovations 2007: From Theory to Applications; Proceedings of the 4 Christos Boukis,Aristodemos Pnevmatikakis,L
影響因子It is our pleasure to present to you the Proceedings of AIAI 2007, the 4th IFIP Conference on Artificial Intelligence Applications & Innovations being held from 19* till 21‘‘‘of September, in Peania, Athens, GREECE. Relying on a solid theoretical background and exploiting the outcomes of exhaustive research efforts, artificial intelligence technology has been widely applied to various areas aiming at the development of intelligent systems that resemble to an extent human thinking and decision-making. These efforts are supported by the ever-expanding abundance of information and computing power. Typical applications of AI include the personalized access and interactivity to multimodal information based on user preferences and semantic concepts and human-machine interface systems utilizing information on the affective state of the user. Also, advancements in AI gave rise to the science of machine learning whose concern is the development of algorithms and techniques that allow computers to learn. The purpose of the 4th IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) is to bring together researchers, engineers and practitioners interested in the technica
Pindex Conference proceedings 2007
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Solving Traveling Salesman Problem Using Combinational Evolutionary Algorithmd problems and we found out the new method can works properly in problems based on permutation. We compare our results by the previous algorithms and show that our algorithm needs less time in comparison with known algorithms and so efficient for such problems.
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https://doi.org/10.1007/978-3-031-59394-9d problems and we found out the new method can works properly in problems based on permutation. We compare our results by the previous algorithms and show that our algorithm needs less time in comparison with known algorithms and so efficient for such problems.
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Christos Boukis,Aristodemos Pnevmatikakis,Lazaros Most recent volume from the AIAI conference series.Includes supplementary material:
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IFIP Advances in Information and Communication Technologyhttp://image.papertrans.cn/b/image/162220.jpg
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On Attracting the Men of Learning,of these graphs. Each graph can be seen as a transaction, or as a molecule — as the techniques applied in this paper are used in (bio)chemical analysis..In this work we will discuss an application that enables the user to further explore the results from a frequent subgraph mining algorithm. Such an
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https://doi.org/10.1007/978-3-658-46173-7, but more interesting class. A classifier induced from an imbalanced dataset has a low error rate for the majority class and an undesirable error rate for the minority class. Many research efforts have been made to deal with class noise but none of them was designed for imbalanced datasets. This pa
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