mci

22 ms·

1. 181.▲
   Programmed Deallocation without Dangling Reference (1983) [pdf](lem12.uksw.edu.pl)

   1 points by mci 9y ago|1 comments
2. 182.▲
   by mci 9y ago

   http://www.eecs.harvard.edu/~shieber/shieber.html
3. 183.▲
   by mci 9y ago

   A recent result in the same vein is that also Romanian is weakly non-context-free: http://nslonge.scripts.mit.edu/site/wp-content/uploads/2015/... Personally, I find Shieber's refutation of section
4. 184.▲
   by mci 10y ago

   You have reinvented the idea behind https://en.wikipedia.org/wiki/Lincos_(artificial_language)
5. 185.▲
   by mci 10y ago

   Nitpick: as I understand them, transducers translate strings to strings, not strings to integers. There is a ~17 lines long algorithm for building FSM's from lexicographically ordered strings: http://sun.aei.polsl.pl/~m
6. 186.▲
   by mci 10y ago

   > it has "Totentons" evidently for "Totentanz". Same goes for "fidelis ad urnum", which should read "urnam".
7. 187.▲
   by mci 10y ago

   I cannot see how to build nested SELECTs with Godb.
8. 188.▲
   Reproducing the AuthaGraph World Map(marcinciura.wordpress.com)

   3 points by mci 10y ago|0 comments
9. 189.▲
   by mci 10y ago

   > I just recently realized that {} are not needed for singletons Trick question: What will you get by TeX-ing this document? $\acute a\acute{a}\acute{{a}}$\'a\'{a}\'{{a}}\end
10. 190.▲
    by mci 10y ago

    Is the reference to "A tale of three spelling checkers" ( http://onlinelibrary.wiley.com/doi/10.1002/spe.4380200607/ab... ) intended?
11. 191.▲
    What Makes a Best-Selling Novel? A Machine Learning Approach(marcinciura.wordpress.com)

    5 points by mci 10y ago|1 comments
12. 192.▲
    by mci 11y ago

    The real cause is geometry. They have narrow strips of land because they were divided this way when inherited. In Poland, the government has been joining farmland since 1919: they give you the same area you had scattered into strips or even
13. 193.▲
    Slicing Earth, Carefully: On Wet and Dry Great and Small Circles(marcinciura.wordpress.com)

    24 points by mci 11y ago|3 comments
14. 194.▲
    by mci 11y ago

    Thanks for the tip! Now linking to a Bokeh-based version as well.
15. 195.▲
    by mci 11y ago

    Looks cool. What do the colors of the nodes mean? If they represent parties, then you have probably merged PO into PiS. Also, how do you choose which nodes to label?
16. 196.▲
    by mci 11y ago

    That's a great idea. I've pushed a gzipped CSV file to https://bitbucket.org/mciura/sejm/
17. 197.▲
    by mci 11y ago

    I didn't put much thought into identifying the third axis. It may well be a linear combination of Euroscepticism and something else. The artefacts you see may be due to former transfers or to MPs who voted for part of the term only.
18. 198.▲
    by mci 11y ago

    Thanks. I like it, too. The Python code to draw it is here: https://bitbucket.org/mciura/sejm/src/886fb4fceb348468a160d5...
19. 199.▲
    The Vector Space of the Polish Parliament in Pictures(marcinciura.wordpress.com)

    130 points by mci 11y ago|22 comments