Classifying LEP Data with Support Vector Algorithms

Details Classifying LEP Data with Support Vector Algorithms Classifying LEP Data with Support Vector Algorithms

1999-05-17

arxiv.org/abs/hep-ex/9905027v1

Physics

High Energy Physics

High Energy Physics - Experiment

7 pages, 4 figures, submitted to proceedings of AIHENP99, Crete, April 1999

Scientific paper

We have studied the application of different classification algorithms in the analysis of simulated high energy physics data. Whereas Neural Network algorithms have become a standard tool for data analysis, the performance of other classifiers such as Support Vector Machines has not yet been tested in this environment. We chose two different problems to compare the performance of a Support Vector Machine and a Neural Net trained with back-propagation: tagging events of the type e+e- -> ccbar and the identification of muons produced in multihadronic e+e- annihilation events.

Affiliated with

Also associated with

No associations

Rating

Classifying LEP Data with Support Vector Algorithms 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 Classifying LEP Data with Support Vector Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Classifying LEP Data with Support Vector Algorithms will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-32696