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Titlebook: Algorithmic Intelligence; Towards an Algorithm Stefan Edelkamp Book 2023 Springer Nature Switzerland AG 2023 Artificial intelligence (AI).S

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樓主
發(fā)表于 2025-3-21 16:31:07 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Algorithmic Intelligence
期刊簡稱Towards an Algorithm
影響因子2023Stefan Edelkamp
視頻videohttp://file.papertrans.cn/153/152960/152960.mp4
發(fā)行地址Demonstrates the algorithmic foundations of computer intelligence.Integrates programming, theoretical computer science, optimization, machine learning, data mining, data analytics.Covers searching, so
圖書封面Titlebook: Algorithmic Intelligence; Towards an Algorithm Stefan Edelkamp Book 2023 Springer Nature Switzerland AG 2023 Artificial intelligence (AI).S
影響因子.In this book the author argues that the basis of what we consider computer intelligence has algorithmic roots, and he presents this with a holistic view, showing examples and explaining approaches that encompass theoretical computer science and machine learning via engineered algorithmic solutions..Part I of the book introduces the basics. The author starts with a hands-on programming primer for solving combinatorial problems, with an emphasis on recursive solutions. The other chapters in the first part of the book explain shortest paths, sorting, deep learning, and Monte Carlo search.?.A key function of computational tools is processing Big Data efficiently, and the chapters in Part II of the book examine traditional graph problems such as finding cliques, colorings, independent sets, vertex covers, and hitting sets, and the subsequent chapters cover multimedia, network, image, and navigation data.?.The highly topical research areas detailed in Part IIIare machine learning, problem solving, action planning, general game playing, multiagent systems, and recommendation and configuration.?.Finally, in Part IV the author uses application areas such as model checking, computational bi
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沙發(fā)
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Stefan EdelkampDemonstrates the algorithmic foundations of computer intelligence.Integrates programming, theoretical computer science, optimization, machine learning, data mining, data analytics.Covers searching, so
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http://image.papertrans.cn/a/image/152960.jpg
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Shortest Pathshortest path search is to find an optimal plan in the form of a sequence of edges that have the smallest cost total. In general graphs, the best-known algorithms are variants of Dijkstra’s approach. Nonetheless, after more than 50 years there are still many interesting cases in which it can be improved significantly.
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發(fā)表于 2025-3-22 19:50:38 | 只看該作者
Arbeitnehmervertreter im Aufsichtsrathortest path search is to find an optimal plan in the form of a sequence of edges that have the smallest cost total. In general graphs, the best-known algorithms are variants of Dijkstra’s approach. Nonetheless, after more than 50 years there are still many interesting cases in which it can b
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發(fā)表于 2025-3-22 23:00:04 | 只看該作者
https://doi.org/10.1007/978-3-319-65596-3Artificial intelligence (AI); Sorting; Deep Learning; Machine Learning; Navigation; Game Playing; Robot Mo
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Springer Nature Switzerland AG 2023
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