Tag Archives: MachineLearning

Why Hypergraphs?

I’ve recently been hacking on creating a new parser for the Link Grammar theory of natural language parsing. I want to couple parsing to machine learning (ML), to that I can use ML to learn natural languages. … Continue reading

Posted in Design, Introduction, Theory | Tagged , , , , , , , , , | 39 Comments

Tuning Metalearning in MOSES

I’ve been studying MOSES recently, with an eye towards performance tuning it. Turns out optimization algorithms don’t always behave the way you think they do, and certainly not the way you want them to.

Given a table of values, MOSES …

Posted in Design, Development, Documentation, Theory | Tagged , , | 2 Comments