Larry D. Pyeatt - researchr alias

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Viewing Publication 1 - 25 from 25

2022

Using Genetic Algorithm to Create an Ensemble Machine Learning Models to Predict TennisArisoa S. Randrianasolo, Larry D. Pyeatt. ftc 2023: 681-695 [doi]

2019

Building a Better Decision Tree by Delaying the Split DecisionKyle A. Caudle, Larry D. Pyeatt, Anthony Morast, Christer Karlsson, Randy C. Hoover. iccda 2019: 78-83 [doi]

Flow Field Forecasting with Many PredictorsKyle A. Caudle, Patrick Fleming, Larry D. Pyeatt, Randy C. Hoover. iccda 2019: 109-115 [doi]

2015

Using Density Estimation to Detect Computer IntrusionsKyle Caudle, Christer Karlsson, Larry D. Pyeatt. codaspy 2015: 43-48 [doi]

2014

Reinforcement learning for closed-loop propofol anesthesia: a study in human volunteersBrett L. Moore, Larry D. Pyeatt, Vivekanand Kulkarni, Periklis Panousis, Kevin Padrez, Anthony G. Doufas. jmlr, 15(1):655-696, 2014. [doi]

Q-Learning: From Computer Network Security to Software SecurityArisoa S. Randrianasolo, Larry D. Pyeatt. icmla 2014: 257-262 [doi]

A theoretical Q-learning temporary security repairArisoa S. Randrianasolo, Larry D. Pyeatt. cics 2014: 74-80 [doi]

2012

Partially Observable Markov Decision Process for Closed-Loop Anesthesia ControlEddy C. Borera, Brett L. Moore, Larry D. Pyeatt. ecai 2012: 949-954 [doi]

An Artificial Immune System Based on Holland's Classifier as Network Intrusion DetectionArisoa S. Randrianasolo, Larry D. Pyeatt. icmla 2012: 504-507 [doi]

Using Local Regression in Monte Carlo Tree SearchArisoa S. Randrianasolo, Larry D. Pyeatt. icmla 2012: 500-503 [doi]

2011

An Adaptive Neural Network Filter for Improved Patient State Estimation in Closed-Loop Anesthesia ControlEddy C. Borera, Brett L. Moore, Anthony G. Doufas, Larry D. Pyeatt. ictai 2011: 41-46 [doi]

2010

POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative MethodEddy C. Borera, Larry D. Pyeatt, Arisoa S. Randrianasolo, Madhi Naser-Moghadasi. micai 2010: 254-265 [doi]

Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Human Volunteer StudyBrett L. Moore, Periklis Panousis, Vivek Kulkarni, Larry D. Pyeatt, Anthony G. Doufas. iaai 2010: 1807-1813 [doi]

2009

Reconfigurable disruption tolerant routing via Reinforcement LearningTae Hyung Kim, Larry D. Pyeatt, Donald C. Wunsch. ijcnn 2009: 1611-1616 [doi]

2004

Automatic U.S. Vehicle License Plate Extraction and License Number Splitting Under Various Illumination ConditionsChengcheng Li, Larry D. Pyeatt. ccct 2004: 143-148

Intelligent Control of Closed-Loop Sedation in Simulated ICU PatientsBrett L. Moore, Eric D. Sinzinger, Todd M. Quasny, Larry D. Pyeatt. flairs 2004: 109-114

2003

Reinforcement Learning with Decision TreesLarry D. Pyeatt. appinf 2003: 26-31

Curvature-Velocity Method for Differentially Steered RobotsTodd M. Quasny, Larry D. Pyeatt, Jacquelyn L. Moore. mic 2003: 618-622

2000

Evaluating robustness in a two layer simulated robot architectureLarry D. Pyeatt, Adele E. Howe. jetai, 12(2):213-234, 2000.

1999

A Parallel Algorithm for POMDP SolutionLarry D. Pyeatt, Adele E. Howe. ecp 2000: 73-83

Integrating POMDP and Reinforcement Learning for a Two Layer Simulated Robot ArchitectureLarry D. Pyeatt, Adele E. Howe. agents 1999: 168-174 [doi]

1998

Learning to Race: Experiments with a Simulated Race CarLarry D. Pyeatt, Adele E. Howe. flairs 1998: 357-361

1996

Constructing transition models of AI planner behaviorAdele E. Howe, Larry D. Pyeatt. ASE 1996: 33-41 [doi]

1995

Hyperplane Ranking in Simple Genetic AlgorithmsL. Darrell Whitley, Keith E. Mathias, Larry D. Pyeatt. icga 1995: 231-238

Cellular Encoding Applied to NeurocontrolL. Darrell Whitley, Frédéric Gruau, Larry D. Pyeatt. icga 1995: 460-469

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