Larry D. Pyeatt

According to our database, Larry D. Pyeatt authored at least 26 papers between 1995 and 2022.

Collaborative distances:

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

2022

Using Genetic Algorithm to Create an Ensemble Machine Learning Models to Predict Tennis.

Arisoa S. Randrianasolo, Larry D. Pyeatt

Proceedings of the Future Technologies Conference, 2022

2019

Building a Better Decision Tree by Delaying the Split Decision.

Kyle A. Caudle, Larry D. Pyeatt, Anthony Morast, Christer Karlsson, Randy C. Hoover

Proceedings of the 3rd International Conference on Compute and Data Analysis, 2019

Flow Field Forecasting with Many Predictors.

Kyle A. Caudle, Patrick Fleming, Larry D. Pyeatt, Randy C. Hoover

Proceedings of the 3rd International Conference on Compute and Data Analysis, 2019

2015

Using Density Estimation to Detect Computer Intrusions.

Kyle A. Caudle, Christer Karlsson, Larry D. Pyeatt

Proceedings of the 2015 ACM International Workshop on International Workshop on Security and Privacy Analytics, 2015

2014

Reinforcement learning for closed-loop propofol anesthesia: a study in human volunteers.

Brett L. Moore, Larry D. Pyeatt, Vivekanand Kulkarni, Periklis Panousis, Kevin Padrez, Anthony G. Doufas

J. Mach. Learn. Res., 2014

Q-Learning: From Computer Network Security to Software Security.

Arisoa S. Randrianasolo, Larry D. Pyeatt

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

A theoretical Q-learning temporary security repair.

Arisoa S. Randrianasolo, Larry D. Pyeatt

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Cyber Security, 2014

2012

An Artificial Immune System Based on Holland's Classifier as Network Intrusion Detection.

Arisoa S. Randrianasolo, Larry D. Pyeatt

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Using Local Regression in Monte Carlo Tree Search.

Arisoa S. Randrianasolo, Larry D. Pyeatt

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Partially Observable Markov Decision Process for Closed-Loop Anesthesia Control.

Eddy C. Borera, Brett L. Moore, Larry D. Pyeatt

Proceedings of the ECAI 2012, 2012

2011

An Adaptive Neural Network Filter for Improved Patient State Estimation in Closed-Loop Anesthesia Control.

Eddy C. Borera, Brett L. Moore, Anthony G. Doufas, Larry D. Pyeatt

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010

POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative Method.

Eddy C. Borera, Larry D. Pyeatt, Arisoa S. Randrianasolo, Mahdi Naser-Moghadasi

Proceedings of the Advances in Artificial Intelligence, 2010

Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Human Volunteer Study.

Brett L. Moore, Periklis Panousis, Vivekanand Kulkarni, Larry D. Pyeatt, Anthony G. Doufas

Proceedings of the Twenty-Second Conference on Innovative Applications of Artificial Intelligence, 2010

2009

Reconfigurable disruption tolerant routing via Reinforcement Learning.

Tae-Hyung Kim, Larry D. Pyeatt, Donald C. Wunsch

Proceedings of the International Joint Conference on Neural Networks, 2009

2004

A Short Tutorial on Reinforcement Learning.

Chengcheng Li, Larry D. Pyeatt

Proceedings of the Intelligent Information Processing II, 2004

Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients.

Brett L. Moore, Eric D. Sinzinger, Todd M. Quasny, Larry D. Pyeatt

Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

Automatic U.S. Vehicle License Plate Extraction and License Number Splitting Under Various Illumination Conditions.

Chengcheng Li, Larry D. Pyeatt

Proceedings of the 2nd International Conference Computing, 2004

2003

Curvature-Velocity Method for Differentially Steered Robots.

Todd M. Quasny, Larry D. Pyeatt, Jacquelyn L. Moore

Proceedings of the 22nd IASTED International Conference on Modelling, 2003

Reinforcement Learning with Decision Trees.

Larry D. Pyeatt

Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

2000

Evaluating robustness in a two layer simulated robot architecture.

Larry D. Pyeatt, Adele E. Howe

J. Exp. Theor. Artif. Intell., 2000

1999

A Parallel Algorithm for POMDP Solution.

Larry D. Pyeatt, Adele E. Howe

Proceedings of the Recent Advances in AI Planning, 5th European Conference on Planning, 1999

Integrating POMDP and Reinforcement Learning for a Two Layer Simulated Robot Architecture.

Larry D. Pyeatt, Adele E. Howe

Proceedings of the Third Annual Conference on Autonomous Agents, 1999

1998

Learning to Race: Experiments with a Simulated Race Car.

Larry D. Pyeatt, Adele E. Howe

Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, 1998

1996

Constructing transition models of AI planner behavior.

Adele E. Howe, Larry D. Pyeatt

Proceedings of the 11th Knowledge-Based Software Engineering Conference, 1996

1995

Hyperplane Ranking in Simple Genetic Algorithms.

L. Darrell Whitley, Keith E. Mathias, Larry D. Pyeatt

Proceedings of the 6th International Conference on Genetic Algorithms, 1995

Cellular Encoding Applied to Neurocontrol.

L. Darrell Whitley, Frédéric Gruau, Larry D. Pyeatt

Proceedings of the 6th International Conference on Genetic Algorithms, 1995