Larry J. Eshelman

According to our database, Larry J. Eshelman authored at least 25 papers between 1986 and 2016.

Collaborative distances:

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

2016

A dynamic ensemble approach to robust classification in the presence of missing data.

Bryan Conroy, Larry J. Eshelman, Cristhian Potes, Minnan Xu-Wilson

Mach. Learn., 2016

2008

Development and Evaluation of Predictive Alerts for Hemodynamic Instability in ICU Patients.

Larry J. Eshelman, K. P. Lee, Joseph J. Frassica, Wei Zong, Larry Nielsen, Mohammed Saeed

Proceedings of the AMIA 2008, 2008

2000

Code Compaction Using Genetic Algorithms.

Keith E. Mathias, Larry J. Eshelman, J. David Schaffer, Lex Augusteijn, Paul F. Hoogendijk, Rik van de Wiel

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000

Niches in NK-Landscapes.

Keith E. Mathias, Larry J. Eshelman, J. David Schaffer

Proceedings of the Sixth Workshop on Foundations of Genetic Algorithms, 2000

1998

The Effects of Control Parameters and Restarts on Search Stagnation in Evolutionary Programming.

Keith E. Mathias, J. David Schaffer, Larry J. Eshelman, Murali Mani

Proceedings of the Parallel Problem Solving from Nature, 1998

The Effect of Incest Prevention on Genetic Drift.

J. David Schaffer, Murali Mani, Larry J. Eshelman, Keith E. Mathias

Proceedings of the Fifth Workshop on Foundations of Genetic Algorithms, 1998

1997

Crossover Operator Biases: Exploiting the Population Distribution.

Larry J. Eshelman, Keith E. Mathias, J. David Schaffer

Proceedings of the 7th International Conference on Genetic Algorithms, 1997

1996

Convergence Controlled Variation.

Larry J. Eshelman, Keith E. Mathias, J. David Schaffer

Proceedings of the 4th Workshop on Foundations of Genetic Algorithms. San Diego, 1996

1994

Productive Recombination and Propagating and Preserving Schemata.

Larry J. Eshelman, J. David Schaffer

Proceedings of the Third Workshop on Foundations of Genetic Algorithms. Estes Park, Colorado, USA, July 31, 1994

1993

Designing Multiplierless Digital Filters Using Genetic Algorithms.

J. David Schaffer, Larry J. Eshelman

Proceedings of the 5th International Conference on Genetic Algorithms, 1993

Crossover's Niche.

Larry J. Eshelman, J. David Schaffer

Proceedings of the 5th International Conference on Genetic Algorithms, 1993

1992

Real-Coded Genetic Algorithms and Interval-Schemata.

Larry J. Eshelman, J. David Schaffer

Proceedings of the Second Workshop on Foundations of Genetic Algorithms. Vail, 1992

1991

On Crossover as an Evolutionarily Viable Strategy.

J. David Schaffer, Larry J. Eshelman

Proceedings of the 4th International Conference on Genetic Algorithms, 1991

Preventing Premature Convergence in Genetic Algorithms by Preventing Incest.

Larry J. Eshelman, J. David Schaffer

Proceedings of the 4th International Conference on Genetic Algorithms, 1991

1990

Spurious Correlations and Premature Convergence in Genetic Algorithms.

J. David Schaffer, Larry J. Eshelman, Daniel Offutt

Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, 1990

The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination.

Larry J. Eshelman

Proceedings of the First Workshop on Foundations of Genetic Algorithms. Bloomington Campus, 1990

1989

Representation and Hidden Bias II: Eliminating Defining Length Bias in Genetic Search via Shuffle Crossover.

Rich Caruana, Larry J. Eshelman, J. David Schaffer

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms.

Rich Caruana, J. David Schaffer, Larry J. Eshelman

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization.

J. David Schaffer, Rich Caruana, Larry J. Eshelman, Rajarshi Das

Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

Biases in the Crossover Landscape.

Larry J. Eshelman, Rich Caruana, J. David Schaffer

Proceedings of the 3rd International Conference on Genetic Algorithms, 1989

1988

MOLE: A Knowledge Acquisition Tool that Buries Certainty Factors.

Larry J. Eshelman

Int. J. Man Mach. Stud., 1988

Using Weighted Networks to Represent Classification Knowledge in Noisy Domains.

Ming Tan, Larry J. Eshelman

Proceedings of the Machine Learning, 1988

Acquiring and Complementing the Model for Diagnostic Tasks.

Hervé Lambert, Larry J. Eshelman, Yumi Iwasaki

Proceedings of the 8th European Conference on Artificial Intelligence, 1988

1987

MOLE: A Tenacious Knowledge-Acquisition Tool.

Larry J. Eshelman, Damien Ehret, John P. McDermott, Ming Tan

Int. J. Man Mach. Stud., 1987

1986

MOLE: A Knowledge Acquisition Tool that Uses its Head.

Larry J. Eshelman, John P. McDermott

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986