Artificial intelligence learning computation (74 Ergebnisse)

Hardcover. Zustand: Fine. B00K: Fine/, $187.89, Reduced from. 0387163182 Computational Models of Learning; Springer Series Symbolic Computation - Artificial Intelligence. With 34 Figures. * Bolc, Leonard; Bradshaw; Langley; Michalski; Ohlsson; Rendell; Simon. Springer-Verlag, Berlin and Heidelberg, NY, Tokyo 1987 UnStated, 1sT Edition Slivery Spine With Title In Black And Yellow Letters, Hard Cover B00K: Fine/, 208 Numbered Pages, That Were Lightly Read, Are Clean And Tight To The Spine, Slight Shelf, Edge And Book Was Dropped On The Top Rear Corner And Forward Creating A Drop Mark In The Top And On Some Pages. = SYNOPSIS: "In Recent Years, Machine Learning Has Emerged As A Significant Area Of Research In Artificial Intelligence And Cognitive Science. At Present, Research In The Field Is Being Intensified From Both The Point Of View Of Theory And Of Implementation, And The Results Are Being Introduced More.In Practice. Machine Learning Has Recently Become The Subject Of Interest Of Many Young And Talented Scientists Whose Bold Ideas Have Greatly Contributed To The Broadening Of Knowledge In This Rapidly Developing Field Of Science. This Situation Has Manifested Itself In An Increasing Number Of Valuable Contributions To Scientific Journals. However, Such Papers Are Necessarily Compact Descriptions Of Research Problems. Computational Models Of Learning Supplements These Contributions And Is A Collection Of More Extensive Essays. These Essays Provide The Reader With An Increased Knowledge Of Carefully Selected Problems Of Machine Learning". Description Applies To This B0K, Only, Which Is Hard To Find, And Will Be Packaged And Shipped = Carefully, To Avoid Shipping Damage And Will Make It, An Excellent Addition To Your Own Personal Library Collection, Or As A Gift For The Collector / Reader. = World Wide Shipping = AVAILABLE =. B00K: Fine/, 1987 (illustrator). …

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems.The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.…

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Taschenbuch. Zustand: Neu. Nature-Inspired Computation and Machine Learning | 13th Mexican International Conference on Artificial Intelligence, MICAI2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part II | Alexander Gelbukh (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xxx | Englisch | 2014 | Springer | EAN 9783319136493 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two-volume set, CCIS 2184-2185,constitutes the refereed proceedings of the First International Conference onComputation of Artificial Intelligence and Machine Learning,ICCAIML 2024, held in Jaipur, India, in January18-19, 2024.The 60 papers included in these volumes were carefully reviewed and selected from 645 submissions. These papers focus on various subject areas within the field of Artificial Intelligence and Machine Learning, such asNeural Networks and Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Data Mining and Big Data Analytics, AI in Healthcare and Biomedical Applications, Autonomous Systems and Robotics, AI Ethics and Fairness, AI in Finance and Eco-nomics.…