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David H Ackley
David H Ackley
Emeritus Professor of Computer Science, University of New Mexico
Email confirmado em cs.unm.edu - Página inicial
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A learning algorithm for Boltzmann machines
DH Ackley, GE Hinton, TJ Sejnowski
Cognitive science 9 (1), 147-169, 1985
58281985
A connectionist machine for genetic hillclimbing
DH Ackley
Kluwer Academic Publishers, 1987
1279*1987
Boltzmann machines: Constraint satisfaction networks that learn
GE Hinton, TJ Sejnowski, DH Ackley
Technical Report: Carnegie-Mellon University Department of Computer Science, 1984
7911984
Building diverse computer systems
S Forrest, A Somayaji, DH Ackley
Operating Systems, 1997., The Sixth Workshop on Hot Topics in, 67-72, 1997
7671997
Interactions between learning and evolution
D Ackley, M Littman
Artificial life II 10, 487-509, 1991
7401991
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
6002003
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
4651999
An empirical study of bit vector function optimization
DH Ackley
Genetic algorithms and simulated annealing, 170-204, 1987
3441987
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
2122005
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
1572016
A case for Lamarckian evolution
DH Ackley, ML Littman
SANTA FE INSTITUTE STUDIES IN THE SCIENCES OF COMPLEXITY-PROCEEDINGS VOLUME …, 1994
140*1994
Altruism in the evolution of communication
DH Ackley, ML Littman
Artificial life IV, 40-48, 1994
1381994
Generalization and scaling in reinforcement learning
DH Ackley, ML Littman
Advances in neural information processing systems 2, 550-557, 1990
1121990
Stochastic iterated genetic hillclimbing
DH Ackley
Carnegie Mellon University, 1987
731987
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
681990
Adaptation in Constant Utility Non-Stationary Environments.
ML Littman, DH Ackley
ICGA, 136-142, 1991
521991
Computation in the wild
S Forrest, J Balthrop, M Glickman, D Ackley
Robust Design: A Repertoire of Biological, Ecological, and Engineering Case …, 2005
512005
A connectionist algorithm for genetic search
DH Ackley
Proceedings of the 1st International Conference on Genetic Algorithms, 121-135, 1985
471985
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
391998
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