ISBN: 9783030291341 - the neurips ’18 competition: from machine learning to intelligent conversations (the springer series on challenges in machine learning) (14 resultados)

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Condición: New. pp. VII, 342 130 illus. 2020th edition NO-PA16APR2015-KAP.

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents the results of the Neural Information Processing Systems Competition track at the 2018 NeurIPS conference. The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight competition proposals were selected, spanning the area of Robotics, Health, Computer Vision, Natural Language Processing, Systems and Physics.Competitions have become an integral part of advancing state-of-the-art in artificial intelligence (AI). They exhibit one important difference to benchmarks: Competitions test a system end-to-end rather than evaluating only a single component; they assess the practicability of an algorithmic solution in addition to assessing feasibility.The eight run competitions aim at advancing the state of the art in deep reinforcement learning, adversarial learning, and auto machine learning, among others, including new applications for intelligent agents in gaming and conversational settings, energy physics, and prosthetics.…

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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume presents the results of the Neural Information Processing Systems Competition track at the 2018 NeurIPS conference. The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight competition proposals were selected, spanning the area of Robotics, Health, Computer Vision, Natural Language Processing, Systems and Physics.Competitions have become an integral part of advancing state-of-the-art in artificial intelligence (AI). They exhibit one important difference to benchmarks: Competitions test a system end-to-end rather than evaluating only a single component; they assess the practicability of an algorithmic solution in addition to assessing feasibility.The eight run competitions aim at advancing the state of the art in deep reinforcement learning, adversarial learning, and auto machine learning, among others, including new applications for intelligent agents in gaming and conversational settings, energy physics, and prosthetics. 352 pp. Englisch. …

Condición: New. Print on Demand pp. VII, 342 130 illus.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The NeurIPS Competition evaluates the performance&nbspof an entire system rather than a well-isolated task or component, enabling the&nbspevaluation of the feasibility of an algorithm extracting key predictive&nbspsignal from a dataset, as well as the.…

Condición: New. PRINT ON DEMAND pp. VII, 342 130 illus.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume presents the results of the Neural Information Processing Systems Competition track at the 2018 NeurIPS conference. The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight competition proposals were selected, spanning the area of Robotics, Health, Computer Vision, Natural Language Processing, Systems and Physics.Competitions have become an integral part of advancing state-of-the-art in artificial intelligence (AI). They exhibit one important difference to benchmarks: Competitions test a system end-to-end rather than evaluating only a single component; they assess the practicability of an algorithmic solution in addition to assessing feasibility.The eight run competitions aim at advancing the state of the art in deep reinforcement learning, adversarial learning, and auto machine learning, among others, including new applications for intelligent agents in gaming and conversational settings, energy physics, and prosthetics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 352 pp. Englisch.…