Jaime Sevilla

@Jsevillamol

Visiting researcher at , Computer Vision at CTLearn, Math and Computer Engineering at UCM, Strategy , codirector at

Cambridge, UK
Vrijeme pridruživanja: travanj 2015.

Medijski sadržaj

  1. 26. sij

    The applications for CaSPAR 2020 are open! CaSPAR is a program for Cambridge undergraduates with a desire to better understand themselves and the world. Check out the webpage for more info!

  2. 13. sij

    I just learned how to make interactive graphs with Colab - this is a game changer for me

  3. 19. pro 2019.

    Hey, I have absolutely no idea of what the graphs I am studying are telling, but at least they make for some pretty pop art

  4. 12. pro 2019.

    I am compiling a list of all quantum computing systems that have been built so far. Do you know of any? Send me a link please!

  5. 26. stu 2019.

    Bellman optimality equations for the state and action value functions

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  6. 26. stu 2019.

    Optimal state and action value functions, optimal policies and construction of an optimal deterministic policy from an optimal action value function

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  7. 26. stu 2019.

    The state and action value functions and the Bellman expectation equation for MDPs

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  8. 26. stu 2019.

    Markov Decision Processes and Markov Reward Processes induced by a policy

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  9. 26. stu 2019.

    Markov Reward Processes and the Bellman expectation equation

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  10. 23. stu 2019.

    Exponential criterion for joint sufficient statistics

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  11. 23. stu 2019.

    Exponential criterion for sufficient statistics

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  12. 23. stu 2019.

    Factorization theorem for sufficient statistics

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  13. 23. stu 2019.

    Sufficient statistics

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  14. 23. stu 2019.

    In the Kolmogorov-Smirnov test we compare the empirical cumulative distribution F_n with the hypothesized cumulative distribution F_0 at the point of maximum divergence Note that the supremum of this difference can only ocurr at sampled values.

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  15. 23. stu 2019.

    The run test compares whether two continuous distributions X,Y are equal by mixing and ordering their samples and counting the number of uninterrumped contiguous samples from a single distribution (a "run")

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  16. 23. stu 2019.

    To compute the confidence level that a percentile pi_p will be between the order statistics Y_i and Y_j we use the binomial distribution, as it will equal the probability that between i and j-1 of the observed values are below pi_p

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  17. 23. stu 2019.

    Probability density function of the rth order statistic

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  18. 23. stu 2019.

    To test whether two categorical variables are independent we can resort to a chi-squared test where we compare each empirical p(x,y) to the empirical p(x)p(y)

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  19. 22. stu 2019.

    Estimating the sample size of a population mean

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  20. 19. stu 2019.

    Today I have given a talk at presenting my latest research on implications of quantum computing for artificial intelligence

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