Exponential Family Hybrid Semi-Supervised Learning

Details Exponential Family Hybrid Semi-Supervised Learning Exponential Family Hybrid Semi-Supervised Learning

2010-03-02

arxiv.org/abs/1003.0696v1

Twenty-First International Joint Conference on Artificial Intelligence 2009, pg 974-979

Computer Science

Learning

6 pages, 3 figures

Scientific paper

We present an approach to semi-supervised learning based on an exponential
family characterization. Our approach generalizes previous work on coupled
priors for hybrid generative/discriminative models. Our model is more flexible
and natural than previous approaches. Experimental results on several data sets
show that our approach also performs better in practice.

Affiliated with

Also associated with

No associations

Rating

Exponential Family Hybrid Semi-Supervised 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 Exponential Family Hybrid Semi-Supervised Learning, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Exponential Family Hybrid Semi-Supervised Learning will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-683464