DSL for Generative M… on DSL for Generative Models… Measurable Spaces… on Measurable Spaces – Prob… Measurable Spaces… on Measurable Spaces – Prob… Measurable Spaces… on Measurable Spaces – Prob… Ballot Theorem… on Ballot Theorem – 2 …
Author Archives: Naren Sundar
Last weekend, I gave a talk at the Bangalore Computer Vision Meetup group on “A history of Natural Language Processing”. I tried to compile together a perspective of the subject that may be unfamiliar to many. Take a look here: … Continue reading
I’m going to sketch out the next few things to plan and code for the DSL library. I have so far provided the ability to describe the network but I haven’t yet provided a way to describe the distributions. For … Continue reading
> import Data.Ord (comparing) This is completely random but I thought it was a neat use of laziness. You are familiar with lexicographical ordering? Haskell’s compare of lists implements this. ghci> [1,2] < [1,3] True ghci> [1,3,4] < [1,3,4,5] True … Continue reading
I want to start another aside because this is something I spend a significant amount of time thinking about. That is, how do you learn a new language when you are approaching 30? Living in India, I think it’s a … Continue reading
I’ve now cleaned up (in befb0f3cca0c212e368497e86f030aa96355be18) the Reader and Writer interfaces and added it to Statistics.GModeling.Gibbs. I’ve removed references to Support and simply parameterized using a key type k and value type v. > data Reader k v = Reader … Continue reading
I am putting together what I have so far in a repository here. So far, (133e22dc979d988706aafe52a346cee004f70ca5) it contains Statistics.GModeling.DSL Statistics.GModeling.Models.HMM Statistics.GModeling.Models.LDA Statistics.GModeling.Models.FixedTreeLDA Will continue building the pieces in upcoming posts.