onetwo12

4 ms·

1. 1.▲
   by onetwo12 10y ago

   Prolog is only appropriate for certain kinds of programs, long time ago I programmed in prolog and it was a very difficult task when the problem was not about matching and unification. For me Lisp was much more appropiate and easy to progra
2. 2.▲
   by onetwo12 10y ago

   The post is about suggesting more fermi estimates problems, see for example http://lesswrong.com/lw/h5e/fermi_estimates/ Fermi estimates require you to look for relations in the real world, construct a model
3. 3.▲
   by onetwo12 10y ago

   I see this as a knn approach in which the distance is a function of the strength of the edge between the vertices. In the retrofitting paper cited in the comments there is a process of smoothing, that is feeding back the message or informa
4. 4.▲
   by onetwo12 10y ago

   Your Monte Carlo post is interesting, but it doesn't consider the context of markov networks, for example reading Norvig Modern IA there are good examples. There is a subtle point that having probabilities locally you must prove that
5. 5.▲
   by onetwo12 10y ago

   You can read similar to chapter two, high dimensional spaces, in https://jeremykun.com/2016/02/08/big-dimensions-and-what-you... Also, chapter three about SVD, is in https://jeremykun.com/