Larry D. Pyeatt

Publication Activity (10 Years)

Years Active: 1995-2022
Publications (10 Years): 3

Top Topics

Density Estimation

Optic Flow Field

Machine Learning Models

Computer Network Security

Top Venues

J. Mach. Learn. Res.

Publications

Arisoa S. Randrianasolo, Larry D. Pyeatt
Using Genetic Algorithm to Create an Ensemble Machine Learning Models to Predict Tennis. FTC (1) (2022)
Kyle A. Caudle, Patrick Fleming, Larry D. Pyeatt, Randy C. Hoover
Flow Field Forecasting with Many Predictors. ICCDA (2019)
Kyle A. Caudle, Larry D. Pyeatt, Anthony Morast, Christer Karlsson, Randy C. Hoover
Building a Better Decision Tree by Delaying the Split Decision. ICCDA (2019)
Kyle A. Caudle, Christer Karlsson, Larry D. Pyeatt
Using Density Estimation to Detect Computer Intrusions. IWSPA@CODASPY (2015)
Arisoa S. Randrianasolo, Larry D. Pyeatt
A theoretical Q-learning temporary security repair. CICS (2014)
Brett L. Moore, Larry D. Pyeatt, Vivekanand Kulkarni, Periklis Panousis, Kevin Padrez, Anthony G. Doufas
Reinforcement learning for closed-loop propofol anesthesia: a study in human volunteers. J. Mach. Learn. Res. 15 (1) (2014)
Arisoa S. Randrianasolo, Larry D. Pyeatt
Q-Learning: From Computer Network Security to Software Security. ICMLA (2014)
Arisoa S. Randrianasolo, Larry D. Pyeatt
Using Local Regression in Monte Carlo Tree Search. ICMLA (1) (2012)
Eddy C. Borera, Brett L. Moore, Larry D. Pyeatt
Partially Observable Markov Decision Process for Closed-Loop Anesthesia Control. ECAI (2012)
Arisoa S. Randrianasolo, Larry D. Pyeatt
An Artificial Immune System Based on Holland's Classifier as Network Intrusion Detection. ICMLA (1) (2012)
Eddy C. Borera, Brett L. Moore, Anthony G. Doufas, Larry D. Pyeatt
An Adaptive Neural Network Filter for Improved Patient State Estimation in Closed-Loop Anesthesia Control. ICTAI (2011)
Eddy C. Borera, Larry D. Pyeatt, Arisoa S. Randrianasolo, Mahdi Naser-Moghadasi
POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative Method. MICAI (1) (2010)
Brett L. Moore, Periklis Panousis, Vivekanand Kulkarni, Larry D. Pyeatt, Anthony G. Doufas
Reinforcement Learning for Closed-Loop Propofol Anesthesia: A Human Volunteer Study. IAAI (2010)
Tae-Hyung Kim, Larry D. Pyeatt, Donald C. Wunsch
Reconfigurable disruption tolerant routing via Reinforcement Learning. IJCNN (2009)
Brett L. Moore, Eric D. Sinzinger, Todd M. Quasny, Larry D. Pyeatt
Intelligent Control of Closed-Loop Sedation in Simulated ICU Patients. FLAIRS Conference (2004)
Chengcheng Li, Larry D. Pyeatt
Automatic U.S. Vehicle License Plate Extraction and License Number Splitting Under Various Illumination Conditions. CCCT (2) (2004)
Chengcheng Li, Larry D. Pyeatt
A Short Tutorial on Reinforcement Learning. Intelligent Information Processing (2004)
Larry D. Pyeatt
Reinforcement Learning with Decision Trees. Applied Informatics (2003)
Todd M. Quasny, Larry D. Pyeatt, Jacquelyn L. Moore
Curvature-Velocity Method for Differentially Steered Robots. Modelling, Identification and Control (2003)
Larry D. Pyeatt, Adele E. Howe
Evaluating robustness in a two layer simulated robot architecture. J. Exp. Theor. Artif. Intell. 12 (2) (2000)
Larry D. Pyeatt, Adele E. Howe
A Parallel Algorithm for POMDP Solution. ECP (1999)
Larry D. Pyeatt, Adele E. Howe
Integrating POMDP and Reinforcement Learning for a Two Layer Simulated Robot Architecture. Agents (1999)
Larry D. Pyeatt, Adele E. Howe
Learning to Race: Experiments with a Simulated Race Car. FLAIRS Conference (1998)
Adele E. Howe, Larry D. Pyeatt
Constructing transition models of AI planner behavior. KBSE (1996)
L. Darrell Whitley, Keith E. Mathias, Larry D. Pyeatt
Hyperplane Ranking in Simple Genetic Algorithms. ICGA (1995)
L. Darrell Whitley, Frédéric Gruau, Larry D. Pyeatt
Cellular Encoding Applied to Neurocontrol. ICGA (1995)