Larry D. Pyeatt

26 papers A 1B 2C 2Misc 2Journal 2Unranked 17
YearRankTypeTitle / Venue / Authors
2022 — conf
Using Genetic Algorithm to Create an Ensemble Machine Learning Models to Predict Tennis.
FTC (1)
Arisoa S. Randrianasolo, Larry D. Pyeatt
2019 — conf
Building a Better Decision Tree by Delaying the Split Decision.
ICCDA
Kyle A. Caudle, Larry D. Pyeatt, Anthony Morast, Christer Karlsson, Randy C. Hoover
2019 — conf
Flow Field Forecasting with Many Predictors.
ICCDA
Kyle A. Caudle, Patrick Fleming, Larry D. Pyeatt, Randy C. Hoover
2015 — conf
Using Density Estimation to Detect Computer Intrusions.
IWSPA@CODASPY
Kyle A. Caudle, Christer Karlsson, Larry D. Pyeatt
2014 — conf
A theoretical Q-learning temporary security repair.
CICS
Arisoa S. Randrianasolo, Larry D. Pyeatt
2014 C conf
Q-Learning: From Computer Network Security to Software Security.
ICMLA
Arisoa S. Randrianasolo, Larry D. Pyeatt
2014 J jnl
Reinforcement learning for closed-loop propofol anesthesia: a study in human volunteers.
J. Mach. Learn. Res.
Brett L. Moore, Larry D. Pyeatt, Vivekanand Kulkarni, Periklis Panousis, Kevin Padrez, Anthony G. Doufas
2012 — conf
An Artificial Immune System Based on Holland's Classifier as Network Intrusion Detection.
ICMLA (1)
Arisoa S. Randrianasolo, Larry D. Pyeatt
2012 A conf
Partially Observable Markov Decision Process for Closed-Loop Anesthesia Control.
ECAI
Eddy C. Borera, Brett L. Moore, Larry D. Pyeatt
2012 — conf
Using Local Regression in Monte Carlo Tree Search.
ICMLA (1)
Arisoa S. Randrianasolo, Larry D. Pyeatt
2011 B conf
An Adaptive Neural Network Filter for Improved Patient State Estimation in Closed-Loop Anesthesia Control.
ICTAI
Eddy C. Borera, Brett L. Moore, Anthony G. Doufas, Larry D. Pyeatt
2010 — conf
POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative Method.
MICAI (1)
Eddy C. Borera, Larry D. Pyeatt, Arisoa S. Randrianasolo, Mahdi Naser-Moghadasi
2010 C conf
Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Human Volunteer Study.
IAAI
Brett L. Moore, Periklis Panousis, Vivekanand Kulkarni, Larry D. Pyeatt, Anthony G. Doufas
2009 B conf
Reconfigurable disruption tolerant routing via Reinforcement Learning.
IJCNN
Tae-Hyung Kim, Larry D. Pyeatt, Donald C. Wunsch
2004 — conf
A Short Tutorial on Reinforcement Learning.
IIP
Chengcheng Li, Larry D. Pyeatt
2004 — conf
Automatic U.S. Vehicle License Plate Extraction and License Number Splitting Under Various Illumination Conditions.
CCCT (2)
Chengcheng Li, Larry D. Pyeatt
2004 Misc conf
Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients.
FLAIRS
Brett L. Moore, Eric D. Sinzinger, Todd M. Quasny, Larry D. Pyeatt
2003 — conf
Curvature-Velocity Method for Differentially Steered Robots.
Modelling, Identification and Control
Todd M. Quasny, Larry D. Pyeatt, Jacquelyn L. Moore
2003 — conf
Reinforcement Learning with Decision Trees.
Applied Informatics
Larry D. Pyeatt
2000 J jnl
Evaluating robustness in a two layer simulated robot architecture.
J. Exp. Theor. Artif. Intell.
Larry D. Pyeatt, Adele E. Howe
1999 — conf
A Parallel Algorithm for POMDP Solution.
ECP
Larry D. Pyeatt, Adele E. Howe
1999 — conf
Integrating POMDP and Reinforcement Learning for a Two Layer Simulated Robot Architecture.
Agents
Larry D. Pyeatt, Adele E. Howe
1998 Misc conf
Learning to Race: Experiments with a Simulated Race Car.
FLAIRS
Larry D. Pyeatt, Adele E. Howe
1996 — conf
Constructing transition models of AI planner behavior.
KBSE
Adele E. Howe, Larry D. Pyeatt
1995 — conf
Cellular Encoding Applied to Neurocontrol.
ICGA
L. Darrell Whitley, Frédéric Gruau, Larry D. Pyeatt
1995 — conf
Hyperplane Ranking in Simple Genetic Algorithms.
ICGA
L. Darrell Whitley, Keith E. Mathias, Larry D. Pyeatt