A Generalization of the Chow-Liu Algorithm and its Application to Statistical Learning

Details A Generalization of the Chow-Liu Algorithm and its Application to Statistical Learning A Generalization of the Chow-Liu Algorithm and its Application to Statistical Learning

2010-02-10

arxiv.org/abs/1002.2240v1

Computer Science

Information Theory

Scientific paper

We extend the Chow-Liu algorithm for general random variables while the previous versions only considered finite cases. In particular, this paper applies the generalization to Suzuki's learning algorithm that generates from data forests rather than trees based on the minimum description length by balancing the fitness of the data to the forest and the simplicity of the forest. As a result, we successfully obtain an algorithm when both of the Gaussian and finite random variables are present.

Affiliated with

Also associated with

No associations

Rating

A Generalization of the Chow-Liu Algorithm and its Application to Statistical Learning does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Generalization of the Chow-Liu Algorithm and its Application to Statistical Learning, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Generalization of the Chow-Liu Algorithm and its Application to Statistical Learning will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-67789