Larry J. Eshelman

Publication Activity (10 Years)

Years Active: 1986-2016
Publications (10 Years): 1

Top Topics

Matrix Factorization

Structure From Motion

Robust Classification

Top Venues

Publications

Bryan Conroy, Larry J. Eshelman, Cristhian Potes, Minnan Xu-Wilson
A dynamic ensemble approach to robust classification in the presence of missing data. Mach. Learn. 102 (3) (2016)
Larry J. Eshelman, K. P. Lee, Joseph J. Frassica, Wei Zong, Larry Nielsen, Mohammed Saeed
Development and Evaluation of Predictive Alerts for Hemodynamic Instability in ICU Patients. AMIA (2008)
Keith E. Mathias, Larry J. Eshelman, J. David Schaffer
Niches in NK-Landscapes. FOGA (2000)
Keith E. Mathias, Larry J. Eshelman, J. David Schaffer, Lex Augusteijn, Paul F. Hoogendijk, Rik van de Wiel
Code Compaction Using Genetic Algorithms. GECCO (2000)
J. David Schaffer, Murali Mani, Larry J. Eshelman, Keith E. Mathias
The Effect of Incest Prevention on Genetic Drift. FOGA (1998)
Keith E. Mathias, J. David Schaffer, Larry J. Eshelman, Murali Mani
The Effects of Control Parameters and Restarts on Search Stagnation in Evolutionary Programming. PPSN (1998)
Larry J. Eshelman, Keith E. Mathias, J. David Schaffer
Crossover Operator Biases: Exploiting the Population Distribution. ICGA (1997)
Larry J. Eshelman, Keith E. Mathias, J. David Schaffer
Convergence Controlled Variation. FOGA (1996)
Larry J. Eshelman, J. David Schaffer
Productive Recombination and Propagating and Preserving Schemata. FOGA (1994)
J. David Schaffer, Larry J. Eshelman
Designing Multiplierless Digital Filters Using Genetic Algorithms. ICGA (1993)
Larry J. Eshelman, J. David Schaffer
Crossover's Niche. ICGA (1993)
Larry J. Eshelman, J. David Schaffer
Real-Coded Genetic Algorithms and Interval-Schemata. FOGA (1992)
Larry J. Eshelman, J. David Schaffer
Preventing Premature Convergence in Genetic Algorithms by Preventing Incest. ICGA (1991)
J. David Schaffer, Larry J. Eshelman
On Crossover as an Evolutionarily Viable Strategy. ICGA (1991)
J. David Schaffer, Larry J. Eshelman, Daniel Offutt
Spurious Correlations and Premature Convergence in Genetic Algorithms. FOGA (1990)
Larry J. Eshelman
The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination. FOGA (1990)
J. David Schaffer, Rich Caruana, Larry J. Eshelman, Rajarshi Das
A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization. ICGA (1989)
Rich Caruana, J. David Schaffer, Larry J. Eshelman
Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms. ML (1989)
Larry J. Eshelman, Rich Caruana, J. David Schaffer
Biases in the Crossover Landscape. ICGA (1989)
Rich Caruana, Larry J. Eshelman, J. David Schaffer
Representation and Hidden Bias II: Eliminating Defining Length Bias in Genetic Search via Shuffle Crossover. IJCAI (1989)
Hervé Lambert, Larry J. Eshelman, Yumi Iwasaki
Acquiring and Complementing the Model for Diagnostic Tasks. ECAI (1988)
Larry J. Eshelman
MOLE: A Knowledge Acquisition Tool that Buries Certainty Factors. Int. J. Man Mach. Stud. 29 (5) (1988)
Ming Tan, Larry J. Eshelman
Using Weighted Networks to Represent Classification Knowledge in Noisy Domains. ML (1988)
Larry J. Eshelman, Damien Ehret, John P. McDermott, Ming Tan
MOLE: A Tenacious Knowledge-Acquisition Tool. Int. J. Man Mach. Stud. 26 (1) (1987)
Larry J. Eshelman, John P. McDermott
MOLE: A Knowledge Acquisition Tool that Uses its Head. AAAI (1986)