| A learning algorithm for Boltzmann machines DH Ackley, GE Hinton, TJ Sejnowski Cognitive science 9 (1), 147-169, 1985 | 5186 | 1985 |
| A connectionist machine for genetic hillclimbing DH Ackley Kluwer Academic Publishers, 1987 | 1190* | 1987 |
| Boltzmann machines: Constraint satisfaction networks that learn GE Hinton, TJ Sejnowski, DH Ackley Technical Report: Carnegie-Mellon University Department of Computer Science, 1984 | 742 | 1984 |
| Building diverse computer systems S Forrest, A Somayaji, DH Ackley Operating Systems, 1997., The Sixth Workshop on Hot Topics in, 67-72, 1997 | 740 | 1997 |
| Interactions between learning and evolution D Ackley, M Littman Artificial life II 10, 487-509, 1991 | 707 | 1991 |
| Randomized instruction set emulation to disrupt binary code injection attacks EG Barrantes, DH Ackley, S Forrest, TS Palmer, D Stefanovic, DD Zovi Proceedings of the 10th ACM conference on Computer and communications …, 2003 | 594 | 2003 |
| Variable efficacy of repeated annual influenza vaccination DJ Smith, S Forrest, DH Ackley, AS Perelson Proceedings of the National Academy of Sciences 96 (24), 14001-14006, 1999 | 416 | 1999 |
| An empirical study of bit vector function optimization DH Ackley Genetic algorithms and simulated annealing, 170-204, 1987 | 336 | 1987 |
| Randomized instruction set emulation EG Barrantes, DH Ackley, S Forrest, D Stefanović ACM Transactions on Information and System Security (TISSEC) 8 (1), 3-40, 2005 | 210 | 2005 |
| A case for Lamarckian evolution DH Ackley, ML Littman SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY-PROCEEDINGS VOLUME …, 1994 | 141* | 1994 |
| Altruism in the evolution of communication DH Ackley, ML Littman Artificial life IV, 40-48, 1994 | 135 | 1994 |
| Open-Ended Evolution: Perspectives from the OEE1 Workshop in York T Taylor, M Bedau, A Channon, D Ackley, W Banzhaf, G Beslon, E Dolson, ... Artificial Life, 2016 | 119 | 2016 |
| Generalization and scaling in reinforcement learning DH Ackley, ML Littman Advances in neural information processing systems 2, 550-557, 1990 | 106 | 1990 |
| Stochastic iterated genetic hillclimbing DH Ackley Carnegie Mellon University, 1987 | 70 | 1987 |
| Learning from natural selection in an artificial environment DH Ackley, MS Littman Proceedings of the International Joint Conference on Neural Networks 1, 189-193, 1990 | 64 | 1990 |
| Adaptation in Constant Utility Non-Stationary Environments. ML Littman, DH Ackley ICGA, 136-142, 1991 | 53 | 1991 |
| Computation in the wild S Forrest, J Balthrop, M Glickman, D Ackley Robust Design: A Repertoire of Biological, Ecological, and Engineering Case …, 2005 | 48 | 2005 |
| A connectionist algorithm for genetic search DH Ackley Proceedings of the 1st International Conference on Genetic Algorithms, 121-135, 1985 | 46* | 1985 |
| Code factoring and the evolution of evolvability T Van Belle, DH Ackley Proceedings of the Genetic and Evolutionary Computation Conference, 1383-1390, 2002 | 42* | 2002 |
| Using lazy evaluation to simulate realistic-size repertoires in models of the immune system DJ Smith, S Forrest, DH Ackley, AS Perelson Bulletin of mathematical biology 60 (4), 647-658, 1998 | 38 | 1998 |
Stephanie ForrestProfessor of Computer Science, Univ. of New MexicoVerified email at santafe.edu
