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Multidimensional systems and signal processing, ISSN 0923-6082, 2016, Volume 29, Issue 1, pp. 119 - 135
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 04/2016, Volume 27, Issue 4, pp. 897 - 902
Journal Article
Physical Review X, ISSN 2160-3308, 07/2017, Volume 7, Issue 3, p. 031014
Conventional semiconductor-based logic and nanomagnet-based memory devices are built out of stable, deterministic units such as standard metal-oxide... 
Electronics | Magnetism | Spintronics | NEURAL-NETWORKS | FILMS | MAGNETIZATION REVERSAL | PHYSICS, MULTIDISCIPLINARY | FIELD | SPIN-ORBIT TORQUE | ALGORITHM | BOLTZMANN MACHINES | Physics - Mesoscale and Nanoscale Physics
Journal Article
2019 19th International Conference on Computational Science and Its Applications (ICCSA), 07/2019, pp. 93 - 101
Conference Proceeding
Proceedings of the 2018 on great lakes symposium on vlsi, 05/2018, pp. 15 - 20
...), which are modeled to realize an intrinsic sigmoidal activation function. A CMOS/spin based weighted array structure is designed to implement a restricted Boltzmann machine (RBM... 
p-bit | deep belief network (dbn) | probabilistic spin logic (psl) | boltzmann machine (bm) | resistive network | Computer Science - Emerging Technologies
Conference Proceeding
Journal of Machine Learning Research, ISSN 1532-4435, 06/2016, Volume 17, pp. 1 - 61
Journal Article
by Roy, S and Kundu, A
2012 1st International Conference on Recent Advances in Information Technology (RAIT), 03/2012, pp. 468 - 473
Conference Proceeding
Machine learning, ISSN 0885-6125, 09/2016, Volume 104, Issue 2, pp. 243 - 270
Journal Article
IEEE transaction on neural networks and learning systems, ISSN 2162-2388, 2019, Volume 30, Issue 10, pp. 3200 - 3204
Journal Article
2011, Studies in Computational Intelligence, ISBN 9783642117381, Volume 372
Book Chapter
Journal of chemical theory and computation, ISSN 1549-9618, 05/2020, Volume 16, Issue 6, pp. 3513 - 3529
We use artificial neural networks (ANNs) based on the Boltzmann machine (BM) architectures as an encoder of molecular many-electron wave functions represented with the complete active space configuration interaction (CAS-CI) model... 
CHEMISTRY, PHYSICAL | MATRIX RENORMALIZATION-GROUP | RESTRICTED BOLTZMANN MACHINES | CONFIGURATION-INTERACTION | QUANTUM | PHYSICS, ATOMIC, MOLECULAR & CHEMICAL | Potential energy | First principles | Quantum chemistry | Computer simulation | Artificial neural networks | Configuration interaction | Learning theory | Optimization | Coders | Neural networks | Energy conservation | Computer architecture | Machine learning | Solvers | Wave functions
Journal Article
Neural Processing Letters, ISSN 1370-4621, 12/2016, Volume 44, Issue 3, pp. 735 - 750
Journal Article
Neural Processing Letters, ISSN 1370-4621, 10/2019, Volume 50, Issue 2, pp. 1401 - 1419
This paper introduces a new approach to maximum likelihood learning of the parameters of a restricted Boltzmann machine (RBM... 
Unsupervised deep learning | Restricted Boltzmann machine | Gumbel perturbation | Greedy optimization | Computational Intelligence | Artificial Intelligence | Complex Systems | Computer Science | Analysis | Algorithms
Journal Article
Indonesian Journal of Electrical Engineering and Computer Science, ISSN 2502-4752, 2018, Volume 12, Issue 1, pp. 193 - 200
Journal Article
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