lomendil

6 ms·

1. 1.▲
   by lomendil 13y ago

   I love Clauset, Shalizi, and Newman for keeping up this fight. Even if you agree with them, you still have to include a linear regression in your paper to satisfy reviewers. I was surprised to see this on HN, though. I guess everyone is try
2. 2.▲
   by lomendil 13y ago

   I just saw Jeff Hawkins give a talk and it was quite interesting. I was a bit worried, however, that he is basing his theory of intelligence on the human neocortex, while claiming to go after general principles. This is guaranteed not to be
3. 3.▲
   by lomendil 14y ago

   For vim, I just open an unnamed buffer (:new). I think this is exactly the same as the scratch buffer in emacs.
4. 4.▲
   by lomendil 14y ago

   I can't imagine using this for real. Perception is so much more parallel than that. If I see char *(*fp)(int) I see that it matches the pattern returntype *(*function)(args) It's the "* (* )()" that one sees all at once, and t
5. 5.▲
   by lomendil 14y ago

   I think that decade is now. Brains work nothing like computers. Well, as much as they do like plumbing systems ;)
6. 6.▲
   by lomendil 14y ago

   Eye tracker hardware is tricky and therefore usually expensive, but on the software side there are good tools. I've used VisionEgg[0] with an Eyelink II system and found it quite easy to deal with. [0] http://www.visionegg.org/
7. 7.▲
   by lomendil 14y ago

   I remember seeing a shift in CS student populations, say around 1999, from people who already had a self-developed interest in computing to people who wanted to learn programming as a trade to make money. The first group had probably taught
8. 8.▲
   by lomendil 14y ago

   If this is about weird/vulgar statements with FACEBOOK.COM in the name, they exist for just about every big domain. Whois queries return results for subdomain matches.
9. 9.▲
   by lomendil 14y ago

   fMRI: Modern day phrenology
10. 10.▲
    by lomendil 14y ago

    I found "Linear Algebra Done Right" to be a much more intuitive introduction to the subject. It doesn't get to determinants until the end. http://linear.axler.net/ After going through that course I finally understood things like eigenvect