Culp, Mark - Department of Statistics, West Virginia University

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Culp, Mark - Department of Statistics, West Virginia University

JSS Journal of Statistical Software MMMMMM YYYY, Volume VV, Issue II. http://www.jstatsoft.org/
On Adaptive Regularization Methods in Boosting Mark Culp George Michailidis Kjell Johnson
A co-training algorithm for multi-view data with applications in data fusion
On Propagated Scoring for Semi-supervised Additive Models
An Iterative Algorithm for Extending Learners to a Semi-supervised Setting
Graph-Based Semi-Supervised Learning Mark Culp, George Michailidis
JSS Journal of Statistical Software MMMMMM YYYY, Volume VV, Issue II. http://www.jstatsoft.org/
The Annals of Applied Statistics 2009, Vol. 3, No. 1, 292318
Q1: Table 2 shows that median sensitivity with 20% and 80% of labeled data is at the most 0.429 (co-FTF). Table 5 however shows that sensitivity of co-RF when
An Iterative Algorithm for Extending Learners to a Semi-supervised Setting
On The Semi-Supervised Joint Trained Elastic Net January 9, 2012