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1 - 10 of 13 search results for `Science and Psychology` |u:mlg.eng.cam.ac.uk
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  2. 27 Jan 2023: Cognitive Systems Engineering is a highly interdisciplinary field, drawing from disciplines as diverse as computer science, statistics, neuroscience, engineering, and psychology. ... audio, music and signal processing. autonomous systems and adaptive
  3. 4F13: Machine Learning Lectures 1-2: Introduction to Machine Learning …

    https://mlg.eng.cam.ac.uk/zoubin/ml06/lect1-2.pdf
    27 Jan 2023: Using ideas from: Statistics, Computer Science, Engineering, Applied Mathematics,Cognitive Science, Psychology, Computational Neuroscience, Economics. • ... In this course we’ll focus mostly on unsupervised learning and reinforcement learning.).
  4. 3F3: Signal and Pattern Processing Lecture 1: Introduction to ...

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf
    19 Nov 2023: Computer Science: Artificial Intelligence, computer vision, information retrieval,. • Statistics: learning theory, data mining, learning and inference from data,. • ... Cognitive Science and Psychology: perception, movement control,
  5. Human Perceptions of Fairness in Algorithmic Decision Making: A Case…

    https://mlg.eng.cam.ac.uk/adrian/WWW18-HumanPerceptions.pdf
    16 Jul 2024: We identify root causes ofthe disagreements, and note possible pathways to resolve them. ... Elissa Redmiles acknowledges support from the National Science Foundation GraduateResearch Fellowship Program under Grant No.
  6. 4F13: Machine Learning Lectures 12-14: Reinforcement Learning Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/ml06/lect12-14.pdf
    27 Jan 2023: a = argminai. mj=1. ij p(sj|D,B). Bayesian sequential decision theory (statistics)Optimal control theory (engineering)Reinforcement learning (computer science / psychology). ... This procedure converges to an optimal policy by policy improvement theorem
  7. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect14.pdf
    19 Nov 2023: maximize utility):. a = argminai. mj=1. ij p(sj|D, B). Bayesian sequential decision theory (statistics)Optimal control theory (engineering)Reinforcement learning (computer science / psychology). ... Optimal Policies and Values. Optimal Policy: π such
  8. paper.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/GhaGriSol06.pdf
    27 Jan 2023: Griffiths is inthe Psychology Department, University of California at Berkeley; Peter Sollich is in theDepartment of Mathematics, King’s College London. ... Models ofchoice behavior are of interest to psychology, marketing, decision theory, and
  9. 27 Jan 2023: Honorary Lecturer, Sep 1998–Jan 2006Department of Computer Science and Department of Psychology, University College London, UK. ... 19. Teaching Assistant:Cognitive Neuroscience, MIT (1994)Computational Cognitive Science, MIT (1992)Introduction to
  10. Proc. Valencia / ISBA 8th World Meeting on Bayesian ...

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaGriSol07.pdf
    13 Feb 2023: Griffiths is inthe Psychology Department, University of California at Berkeley; Peter Sollich is in theDepartment of Mathematics, King’s College London. ... Models ofchoice behavior are of interest to psychology, marketing, decision theory, and
  11. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect13.pdf
    19 Nov 2023: Department of Engineering, University of Cambridge. February 27th, March 3rd and 6th, 2009. ... maximize utility):. a = argminai. mj=1. ij p(sj|D, B). Bayesian sequential decision theory (statistics)Optimal control theory (engineering)Reinforcement

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