Adam Ashenfelter

According to our database, Adam Ashenfelter authored at least 4 papers between 2004 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Outlier (Anomaly) Detection Modelling in PMML.

Jaroslav Kuchar, Adam Ashenfelter, Tomás Kliegr

Proceedings of the Doctoral Consortium, 2017

2011

The Big Promise of Recommender Systems.

Francisco J. Martin, Justin Donaldson, Adam Ashenfelter, Marc Torrens, Rick Hangartner

AI Mag., 2011

2006

Pedigree Information for Enhanced Situation and Threat Assessment.

Marion G. Ceruti, Subrata Das, Adam Ashenfelter, Gary Raven, Richard R. Brooks, Moises Sudit, Genshe Chen, Edward Wright

Proceedings of the 9th International Conference on Information Fusion, 2006

2004

Training conditional random fields via gradient tree boosting.

Thomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov

Proceedings of the Machine Learning, 2004