„Programming Languages“

Suchergebnisse

7.502 Treffer

• Book Review: the evolution of complexity
  Dolson, Emily
• Semantics of the Probabilistic Typed Lambda Calculus – Markov Chain Semantics, Termination Behavior, and Denotational Semantics
  Draheim, Dirk 2017 Springer Berlin Heidelberg
• Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning – Springer, Switzerland, 2021, 258 pp, (Hardcover), ISBN: 978-3-030-65926-4
  Zafra, Amelia
• Like a rainbow in the dark: metadata annotation for HPC applications in the age of dark data
  Schembera, Björn
• Development of a generalized model for parallel-streaming neural element and structures for scalar product calculation devices
  Tsmots, Ivan ; Teslyuk, Vasyl ; Kryvinska, Natalia ; Skorokhoda, Oleksa ; Kazymyra, Iryna
• Melanie Mitchell: Artificial intelligence—a guide for thinking humans – Picador, New York, 2019, 336 pp, ISBN: 978-1-250-75804-0
  Özkiziltan, Didem
• Robert Elliott Smith: Rage Inside the Machine—the prejudice of algorithms, and how to stop the internet making bigots of us all – Bloomsbury business, 2019, 344 pp., ISBN 9781472963888
  Magdy, Walid
• Foundations of programming languages – by Kent D. Lee Second Edition. Undergraduate Topics in Computer Science, Springer 2017, ISBN 978-3-319-70789-1, pp. 1–367
  Wilhelm, Reinhard
• Tim Taylor and Alan Dorin: Rise of the self-replicators—early visions of machines, AI and robots that can reproduce and evolve – Springer International Publishing, Cham, Switzerland, 121 pp, € 84.99 (Softcover), ISBN: 978-3-030-48,233-6
  Nichele, Stefano
• Virginia Dignum: Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way – Springer Nature Switzerland AG, 2019. ISBN 978-3-030-30370-9 ISBN 978-3-030-30371-6
  Gold, Nicolas E.
• Arthur I. Miller: The artist in the machine: the world of AI-powered creativity – The MIT Press, 2019, 32 colour ills, 432 pp, ISBN: 9780262354592; 9780262539623
  Olszewska, Anna
• Joseph E. Aoun: Robot-proof: higher education at the age of artificial intelligence – MIT Press, 2018, pp 216, ISBN: 978-0-262-53597-7
  Ulloa-Cazarez, Rosa Leonor
• Juan C. Burguillo: Self-organizing coalitions for managing complexity – Springer, 2018, 187 pp, ISBN 978-3-319-69896-0
  Ombuki-Berman, B.
• Cameron Browne: Evolutionary game design, Springer briefs in computer science series – Springer 2011, ISBN: 978-1-4471-2178-7
  Boumaza, Amine
• Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks – Springer, 2018, Hardcover, 245 pp, ISBN: 978-981-13-0199-5
  Vidnerová, Petra
• Georgios N. Yannakakis and Julian Togelius: Artificial Intelligence and Games – Springer, 2018, Print ISBN: 978-3-319-63518-7, Online ISBN: 978-3-319-63519-4, https://doi.org/10.1007/978-3-319-63519-4
  García-Sánchez, Pablo
• Evelyne Lutton, Nathalie Perrot, Alberto Tonda: Evolutionary algorithms for food science and technology – Wiley, 2016, 182 pp, ISBN: 978-1-119-13683-5
  Androutsopoulos, Kelly
• Ryan J. Urbanowicz, and Will N. Browne: Introduction to learning classifier systems – Springer, 2017, 123 pp, ISBN 978-3-662-55007-6
  Amandi, Analía
• Kathryn E. Merrick: Computational models of motivation for game-playing agents – Springer, 2016, 213 pp, ISBN: 978-3-319-33457-8
  Samothrakis, Spyridon
• Alain Pétrowski and Sana Ben-Hamida: Evolutionary Algorithms – John Wiley and Sons, Inc., Hoboken, New Jersey, USA, 2017, ISBN-13: 978-1848218048, ISBN-10: 1848218044
  Downing, Keith