JacobiX

17 ms·

1. 211.▲
   by JacobiX 13y ago

   I have used maximum entropy classification for a quite similar task. It achieves better performances than Naive Bayes classifiers. But as the author remarked, the quality of the training set and the selection of features are very important
2. 212.▲
   Iran Just Released Classified Footage Decoded From A Captured US Drone(businessinsider.com)

   3 points by JacobiX 14y ago|1 comments
3. 213.▲
   by JacobiX 14y ago

   I use mostly iReader, It removes the ads/clutters and displays the article in an easy to read view.
4. 214.▲
   by JacobiX 14y ago

   Very interesting approach thanks, unfortunately we don't have the social features ...
5. 215.▲
   by JacobiX 14y ago

   Yes I'm using a similar method in the first section of the article (information theoretic solution), but I think that reddit is using the entropy of an image instead of the self-information. The self-information yields to better results in
6. 216.▲
   Locating interesting parts of an image(iptech-group.com)

   7 points by JacobiX 14y ago|0 comments
7. 217.▲
   by JacobiX 14y ago

   Thanks for posting this. Your code combines two successful approachs : a latent factor model (SVD) and a neighborhood model :) Here's my implementation of a recommender algorithm in C if someone is interested : https://github.com/GHamrouni