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Bayesian Machine Learning
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Summaries, thoughts, and questions about foundational and cutting-edge academic papers about deep learning.
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Bayesian Machine Learning
James Vanneman
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Jul 23, 2018
An algorithm for human deceit
Background
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21
James Vanneman
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May 6, 2018
Analytical Bayesian Inference with Conjugate Priors
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90
Jason Morrison
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Sep 25, 2017
Paper Review: Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Authors: Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov
Link:
http://jmlr.org/papers/v15/srivastava14a.html
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