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theorydish.blog
| | www.chriswarbo.net

[AI summary] An author explores methods to automate programming tasks, comparing theoretical approaches like Levin Search and Solomonoff Induction with practical heuristics such as Genetic Algorithms.
5.6 parsecs

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| | andrew222651.com


5.5 parsecs

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| | algorithmsoup.wordpress.com

The ``probabilistic method'' is the art of applying probabilistic thinking to non-probabilistic problems. Applications of the probabilistic method often feel like magic. Here is my favorite example: Theorem (Erdös, 1965). Call a set $latex {X}&fg=000000$ sum-free if for all $latex {a, b \in X}&fg=000000$, we have $latex {a + b \not\in X}&fg=000000$. For any finite...
5.7 parsecs

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| | matbesancon.xyz

Learning by doing: predicting the outcome.
26.2 parsecs

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