An evolutionary hyper-heuristic to optimise deep belief networks for image reconstruction
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Abdul Sattar | Nasser R. Sabar | Andy Song | Nasser R. Sabar | Ayad Turky | A. Sattar | A. Song | A. Turky
[1] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[2] Nasser R. Sabar,et al. An Exponential Monte-Carlo algorithm for feature selection problems , 2014, Comput. Ind. Eng..
[3] Graham Kendall,et al. A graph coloring constructive hyper-heuristic for examination timetabling problems , 2012, Applied Intelligence.
[4] Graham Kendall,et al. Grammatical Evolution Hyper-Heuristic for Combinatorial Optimization Problems , 2013, IEEE Transactions on Evolutionary Computation.
[5] Graham Kendall,et al. A Dynamic Multiarmed Bandit-Gene Expression Programming Hyper-Heuristic for Combinatorial Optimization Problems , 2015, IEEE Transactions on Cybernetics.
[6] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[7] Alan L. Yuille,et al. Genetic CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Nasser R. Sabar,et al. Examination timetabling using scatter search hyper-heuristic , 2009, 2009 2nd Conference on Data Mining and Optimization.
[9] Zhang Yi,et al. Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations , 2017, IEEE Transactions on Evolutionary Computation.
[10] Kunikazu Kobayashi,et al. Time Series Forecasting Using Restricted Boltzmann Machine , 2012, ICIC.
[11] Xin-She Yang,et al. Learning Parameters in Deep Belief Networks Through Firefly Algorithm , 2016, ANNPR.
[12] João Paulo Papa,et al. Fine-tuning Deep Belief Networks using Harmony Search , 2016, Appl. Soft Comput..
[13] Yong Yu,et al. Efficient Architecture Search by Network Transformation , 2017, AAAI.
[14] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[15] R Nasser. An Exponential Monte-Carlo Local Search Algorithm for the Berth Allocation Problem , 2014 .
[16] Z. Geem. Music-Inspired Harmony Search Algorithm: Theory and Applications , 2009 .
[17] Mengjie Zhang,et al. A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[18] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Nasser R. Sabar,et al. A constructive hyper-heuristics for rough set attribute reduction , 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.
[20] Kai Liu,et al. Deep Boltzmann Machines Aided Design Based on Genetic Algorithms , 2014 .
[21] Geoffrey E. Hinton. A Practical Guide to Training Restricted Boltzmann Machines , 2012, Neural Networks: Tricks of the Trade.
[22] Bin Wang,et al. Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[23] Bin Wang,et al. A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification , 2018, Australasian Conference on Artificial Intelligence.
[24] Nasser R. Sabar,et al. A math-hyper-heuristic approach for large-scale vehicle routing problems with time windows , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[25] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Graham Kendall,et al. Population based Monte Carlo tree search hyper-heuristic for combinatorial optimization problems , 2015, Inf. Sci..
[27] Tijmen Tieleman,et al. Training restricted Boltzmann machines using approximations to the likelihood gradient , 2008, ICML '08.
[28] Xin-She Yang,et al. Firefly algorithm, stochastic test functions and design optimisation , 2010, Int. J. Bio Inspired Comput..
[29] Geoffrey E. Hinton,et al. Using fast weights to improve persistent contrastive divergence , 2009, ICML '09.
[30] Graham Kendall,et al. Tabu exponential Monte-Carlo with counter heuristic for examination timetabling , 2009, 2009 IEEE Symposium on Computational Intelligence in Scheduling.
[31] Graham Kendall,et al. Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems , 2015, IEEE Transactions on Evolutionary Computation.
[32] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[33] M. Fesanghary,et al. An improved harmony search algorithm for solving optimization problems , 2007, Appl. Math. Comput..
[34] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[35] Graham Kendall,et al. A Classification of Hyper-heuristic Approaches , 2010 .