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  2. Assignment 2: Latent Variable Models Unsupervised Learning Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course04/asst2em.pdf
    27 Jan 2023: 80 points] Part III. EM for Binary Data. Consider a data set of binary (black and white) images. ... Hint:. maximise the log posterior with respect to p. Download the data set binarydigits.txt which contains N = 100 images with D = 64pixels each, in an
  3. Assignment 2: Latent Variable Models Unsupervised Learning Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course05/asst2em.pdf
    27 Jan 2023: 80 points] Part III. EM for Binary Data. Consider a data set of binary (black and white) images. ... Hint:maximise the log posterior with respect to p. Download the data set binarydigits.txt which contains N = 100 images with D = 64pixels each, in an N D
  4. Assignment 3: Latent Variable Models Unsupervised Learning Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/asst3em.pdf
    27 Jan 2023: Assume that the images were modelled as independently and identically distributed samplesfrom a multivariate Bernoulli with parameter vector p = (p1,. , ... Hint:maximise the log posterior with respect to p. Download the data set binarydigits.txt which

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