thashim

4 ms·

1. 1.▲
   by thashim 10y ago

   The general idea (using word frequencies in context) is Firth's distributional hypothesis [0]. Related to this is the idea of a distributional representation which is covered by Gardenfors in his book on conceptual spaces. For word2vec
2. 2.▲
   by thashim 10y ago

   There are good reasons other than `it models the data well' to use a logit. Of course, the perspective that much like least-squares, logit regression does best when your data is generated from a logistic GLM is true, but not the only s
3. 3.▲
   by thashim 12y ago

   The last sentence of your post is known as 'link-prediction' in the networks literature. [1] is a pretty comprehensive survey from the networks perspective. In many cases this reduces to learning pairwise distances between vertice
4. 4.▲
   by thashim 12y ago

   The connection between the random walk and embeddings has been characterized in [1] (disclosure: I am an author). It turns out embedding in this setting is exactly smarter page rank as you suggested, since PageRank recovers the underlying d