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13 lines
988 B
Markdown
13 lines
988 B
Markdown
## Artificial Intelligence
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* [:scroll:](3-bayesian-network-inference-algorithm.pdf) [Analysis of Three Bayesian Network Inference Algorithms:Variable Elimination, Likelihood Weighting, and Gibbs Sampling](https://github.com/papers-we-love/papers-we-love/blob/master/artificial_intelligence/3-bayesian-network-inference-algorithm.pdf) by Rose F. Liu, Rusmin Soetjipto
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* :scroll: [Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search](efficient-selectivity-and-backup-operators-in-monte-carlo-tree-search.pdf)
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* [Computing Machinery and Intelligence](http://www.csee.umbc.edu/courses/471/papers/turing.pdf) by A.M. Turing
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* [Judea Pearl](http://bayes.cs.ucla.edu/jp_home.html) folder - Papers by Judea Pearl, 2011 winner of the ACM Turing Award.
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* [:open_file_folder: Summary of Papers](judea_pearl/)
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* [Mastering the Game of Go with Deep Neural Networks and Tree Search](http://airesearch.com/wp-content/uploads/2016/01/deepmind-mastering-go.pdf) by Silver et al.
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