Zobrazeno 1 - 10
of 68
pro vyhledávání: '"James V. Stone"'
Publikováno v:
Royal Society Open Science, Vol 3, Iss 11 (2016)
Self-organization and natural selection are fundamental forces that shape the natural world. Substantial progress in understanding how these forces interact has been made through the study of abstract models. Further progress may be made by identifyi
Externí odkaz:
https://doaj.org/article/a091ee7093134927b15ce7b8ed4ec9e7
Autor:
James V. Stone
An engaging introduction to the science of vision that offers a coherent account of vision based on general information processing principlesIn this accessible and engaging introduction to modern vision science, James Stone uses visual illusions to e
Autor:
James V Stone
Dive into the fundamentals of artificial intelligence engines, covering deep learning and its mathematical underpinnings. Practical examples and tutorials help bridge the gap between theoretical AI concepts and applications.Key FeaturesComprehensive
Autor:
James V Stone
Master linear regression concepts with Python through hands-on examples and in-depth explanations of statistical methods.Key FeaturesA comprehensive guide to regression analysis blending theory, statistics, and Python examplesAdvanced regression topi
Autor:
James V Stone
Learn the fundamentals of information theory, including entropy, coding, and data compression, while exploring advanced topics like transfer entropy, thermodynamics, and real-world applications.Key FeaturesA clear blend of foundational theory and adv
Autor:
James V. Stone
Publikováno v:
Nature Machine Intelligence. 1:7-7
Autor:
James V. Stone, John P. Frisby
Publikováno v:
Perception. 41:1040-1052
The following is based largely on sections of our two recent books: Frisby and Stone (2010, Seeing MIT Press), and Stone (2012, Vision and Brain MIT Press). Those books are aimed at student/novice audiences, and so we have eliminated material of a wh
Autor:
James V. Stone
Publikováno v:
Perception. 40:175-190
The shading information in images that depict surfaces of 3-D objects cannot be perceived correctly unless the direction of the illuminating light source is known and, in the absence of this knowledge, perception in adults is consistent with a light-
Autor:
Olivier Pascalis, James V. Stone
Publikováno v:
Perception
Perception, SAGE Publications, 2010, 39 (9), pp.1254-60
Perception, SAGE Publications, 2010, 39 (9), pp.1254-60
International audience; The shading information in images that depict surfaces of three-dimensional objects cannot be perceived correctly unless the direction of the illuminating light source is known, and, in the absence of this knowledge, adults in
Autor:
Peter E. Jupp, James V. Stone
Publikováno v:
Acta et Commentationes Universitatis Tartuensis de Mathematica. 12:101-108
Free-lunch learning (FLL) is a phenomenon in which relearning partially-forgotten mental associations induces recovery of otherassociations. FLL occurs also in artificial neural networks (ANN’s). Two models for forgetting in ANN’s are presented w