On Ranking Senators By Their Votes

Statistics – Machine Learning

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages

Scientific paper

The problem of ranking a set of objects given some measure of similarity is one of the most basic in machine learning. Recently Agarwal proposed a method based on techniques in semi-supervised learning utilizing the graph Laplacian. In this work we consider a novel application of this technique to ranking binary choice data and apply it specifically to ranking US Senators by their ideology.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

On Ranking Senators By Their Votes 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 On Ranking Senators By Their Votes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On Ranking Senators By Their Votes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-107881

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.