Armand Prieditis

According to our database, Armand Prieditis authored at least 16 papers between 1987 and 2022.

Collaborative distances:

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

2022

Methodology to Create Analysis-Naive Holdout Records as well as Train and Test Records for Machine Learning Analyses in Healthcare.

Michele Bennett, Mehdi Nekouei, Armand Prieditis, Rajesh Mehta, Ewa J. Kleczyk, Karin Hayes

CoRR, 2022

2013

Accuracy-Based Classification EM: Combining Clustering with Prediction.

Stephanie Sapp, Armand Prieditis

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Lazy Overfitting Control.

Armand Prieditis, Stephanie Sapp

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency.

Armand Prieditis, Moontae Lee

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Mapping the Internet: Geolocating Routers by Using Machine Learning.

Armand Prieditis, Gang Chen

Proceedings of the Fourth International Conference on Computing for Geospatial Research and Application, 2013

1999

Designing Optimal Sequential Experiments for a Bayesian Classifier.

Robert Davis, Armand Prieditis

IEEE Trans. Pattern Anal. Mach. Intell., 1999

1998

Two-agent IDA*.

Armand Prieditis, Evan Fletcher

J. Exp. Theor. Artif. Intell., 1998

Depth-First Branch-and-Bound vs. Depth-Bounded IDA*.

Armand Prieditis

Comput. Intell., 1998

1997

Adding upper-bound pruning to IDA*.

Armand Prieditis

J. Exp. Theor. Artif. Intell., 1997

1995

Quantitatively Relating Abstractness to the Accuracy of Admissible Heuristics.

Armand Prieditis, Robert Davis

Artif. Intell., 1995

1993

Machine Discovery of Effective Admissible Heuristics.

Armand Prieditis

Mach. Learn., 1993

The Expected Length of a Shortest Path.

Robert Davis, Armand Prieditis

Inf. Process. Lett., 1993

Generating Effective Admissible Heuristics by Abstraction and Reconstitution.

Armand Prieditis, Bhaskar Janakiraman

Proceedings of the 11th National Conference on Artificial Intelligence. Washington, 1993

1989

Discovering Admissible Heuristics by Abstracting and Optimizing: A Transformational Approach.

Jack Mostow, Armand Prieditis

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Discovering Admissible Search Heuristics by Abstracting and Optimizing.

Jack Mostow, Armand Prieditis

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1987

PROLEARN: Towards a Prolog Interpreter that Learns.

Armand Prieditis, Jack Mostow

Proceedings of the 6th National Conference on Artificial Intelligence. Seattle, 1987