Larry J. Eshelman

26 papers A* 2A 10Misc 1Journal 3Unranked 9

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	A dynamic ensemble approach to robust classification in the presence of missing data. Mach. Learn. Bryan Conroy, Larry J. Eshelman, Cristhian Potes, Minnan Xu-Wilson
2008	Misc	`conf`	Development and Evaluation of Predictive Alerts for Hemodynamic Instability in ICU Patients. AMIA Larry J. Eshelman, K. P. Lee, Joseph J. Frassica, Wei Zong, Larry Nielsen, Mohammed Saeed
2000	A	`conf`	Code Compaction Using Genetic Algorithms. GECCO Keith E. Mathias, Larry J. Eshelman, J. David Schaffer, Lex Augusteijn, Paul F. Hoogendijk, Rik van de Wiel
2000	A	`conf`	Niches in NK-Landscapes. FOGA Keith E. Mathias, Larry J. Eshelman, J. David Schaffer
1998	A	`conf`	The Effect of Incest Prevention on Genetic Drift. FOGA J. David Schaffer, Murali Mani, Larry J. Eshelman, Keith E. Mathias
1998	A	`conf`	The Effects of Control Parameters and Restarts on Search Stagnation in Evolutionary Programming. PPSN Keith E. Mathias, J. David Schaffer, Larry J. Eshelman, Murali Mani
1997	—	`conf`	Crossover Operator Biases: Exploiting the Population Distribution. ICGA Larry J. Eshelman, Keith E. Mathias, J. David Schaffer
1996	A	`conf`	Convergence Controlled Variation. FOGA Larry J. Eshelman, Keith E. Mathias, J. David Schaffer
1995	—	`ed.`	Proceedings of the 6th International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 15-19, 1995 ICGA Larry J. Eshelman
1994	A	`conf`	Productive Recombination and Propagating and Preserving Schemata. FOGA Larry J. Eshelman, J. David Schaffer
1993	—	`conf`	Crossover's Niche. ICGA Larry J. Eshelman, J. David Schaffer
1993	—	`conf`	Designing Multiplierless Digital Filters Using Genetic Algorithms. ICGA J. David Schaffer, Larry J. Eshelman
1992	A	`conf`	Real-Coded Genetic Algorithms and Interval-Schemata. FOGA Larry J. Eshelman, J. David Schaffer
1991	—	`conf`	On Crossover as an Evolutionarily Viable Strategy. ICGA J. David Schaffer, Larry J. Eshelman
1991	—	`conf`	Preventing Premature Convergence in Genetic Algorithms by Preventing Incest. ICGA Larry J. Eshelman, J. David Schaffer
1990	A	`conf`	Spurious Correlations and Premature Convergence in Genetic Algorithms. FOGA J. David Schaffer, Larry J. Eshelman, Daniel Offutt
1990	A	`conf`	The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination. FOGA Larry J. Eshelman
1989	—	`conf`	A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization. ICGA J. David Schaffer, Rich Caruana, Larry J. Eshelman, Rajarshi Das
1989	—	`conf`	Biases in the Crossover Landscape. ICGA Larry J. Eshelman, Rich Caruana, J. David Schaffer
1989	A*	`conf`	Representation and Hidden Bias II: Eliminating Defining Length Bias in Genetic Search via Shuffle Crossover. IJCAI Rich Caruana, Larry J. Eshelman, J. David Schaffer
1989	—	`conf`	Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms. ML Rich Caruana, J. David Schaffer, Larry J. Eshelman
1988	A	`conf`	Acquiring and Complementing the Model for Diagnostic Tasks. ECAI Hervé Lambert, Larry J. Eshelman, Yumi Iwasaki
1988	J	`jnl`	MOLE: A Knowledge Acquisition Tool that Buries Certainty Factors. Int. J. Man Mach. Stud. Larry J. Eshelman
1988	—	`conf`	Using Weighted Networks to Represent Classification Knowledge in Noisy Domains. ML Ming Tan, Larry J. Eshelman
1987	J	`jnl`	MOLE: A Tenacious Knowledge-Acquisition Tool. Int. J. Man Mach. Stud. Larry J. Eshelman, Damien Ehret, John P. McDermott, Ming Tan
1986	A*	`conf`	MOLE: A Knowledge Acquisition Tool that Uses its Head. AAAI Larry J. Eshelman, John P. McDermott