Restricted Boltzmann machine (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Restricted Boltzmann machine" in English language version.

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10doi.org

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6harvard.edu

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5nih.gov

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3toronto.edu

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3worldcat.org

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3arxiv.org

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archive.org

Smolensky, Paul (1986). "Chapter 6: Information Processing in Dynamical Systems: Foundations of Harmony Theory" (PDF). In Rumelhart, David E.; McLelland, James L. (eds.). Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 1: Foundations. MIT Press. pp. 194–281. ISBN 0-262-68053-X.

arxiv.org

Carleo, Giuseppe; Troyer, Matthias (2017-02-10). "Solving the quantum many-body problem with artificial neural networks". Science. 355 (6325): 602–606. arXiv:1606.02318. Bibcode:2017Sci...355..602C. doi:10.1126/science.aag2302. ISSN 0036-8075. PMID 28183973. S2CID 206651104.
Pan, Ruizhi; Clark, Charles W. (2024). "Efficiency of neural-network state representations of one-dimensional quantum spin systems". Physical Review Research. 6: 023193. arXiv:2302.00173. doi:10.1103/PhysRevResearch.6.023193.
María Angélica Cueto; Jason Morton; Bernd Sturmfels (2010). "Geometry of the restricted Boltzmann machine". Algebraic Methods in Statistics and Probability. 516. American Mathematical Society. arXiv:0908.4425. Bibcode:2009arXiv0908.4425A.

diku.dk

image.diku.dk

Asja Fischer and Christian Igel. Training Restricted Boltzmann Machines: An Introduction Archived 2015-06-10 at the Wayback Machine. Pattern Recognition 47, pp. 25-39, 2014

doi.org

Sherrington, David; Kirkpatrick, Scott (1975), "Solvable Model of a Spin-Glass", Physical Review Letters, 35 (35): 1792–1796, Bibcode:1975PhRvL..35.1792S, doi:10.1103/PhysRevLett.35.1792
Hinton, G. E.; Salakhutdinov, R. R. (2006). "Reducing the Dimensionality of Data with Neural Networks" (PDF). Science. 313 (5786): 504–507. Bibcode:2006Sci...313..504H. doi:10.1126/science.1127647. PMID 16873662. S2CID 1658773. Archived from the original (PDF) on 2015-12-23. Retrieved 2015-12-02.
Larochelle, H.; Bengio, Y. (2008). Classification using discriminative restricted Boltzmann machines (PDF). Proceedings of the 25th international conference on Machine learning - ICML '08. p. 536. doi:10.1145/1390156.1390224. ISBN 978-1-60558-205-4.
Salakhutdinov, R.; Mnih, A.; Hinton, G. (2007). Restricted Boltzmann machines for collaborative filtering. Proceedings of the 24th international conference on Machine learning - ICML '07. p. 791. doi:10.1145/1273496.1273596. ISBN 978-1-59593-793-3.
Bravi, Barbara; Di Gioacchino, Andrea; Fernandez-de-Cossio-Diaz, Jorge; Walczak, Aleksandra M; Mora, Thierry; Cocco, Simona; Monasson, Rémi (2023-09-08). Bitbol, Anne-Florence; Eisen, Michael B (eds.). "A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity". eLife. 12: e85126. doi:10.7554/eLife.85126. ISSN 2050-084X. PMC 10522340. PMID 37681658.
Carleo, Giuseppe; Troyer, Matthias (2017-02-10). "Solving the quantum many-body problem with artificial neural networks". Science. 355 (6325): 602–606. arXiv:1606.02318. Bibcode:2017Sci...355..602C. doi:10.1126/science.aag2302. ISSN 0036-8075. PMID 28183973. S2CID 206651104.
Melko, Roger G.; Carleo, Giuseppe; Carrasquilla, Juan; Cirac, J. Ignacio (September 2019). "Restricted Boltzmann machines in quantum physics". Nature Physics. 15 (9): 887–892. Bibcode:2019NatPh..15..887M. doi:10.1038/s41567-019-0545-1. ISSN 1745-2481. S2CID 256704838.
Pan, Ruizhi; Clark, Charles W. (2024). "Efficiency of neural-network state representations of one-dimensional quantum spin systems". Physical Review Research. 6: 023193. arXiv:2302.00173. doi:10.1103/PhysRevResearch.6.023193.
Hinton, G. (2009). "Deep belief networks". Scholarpedia. 4 (5): 5947. Bibcode:2009SchpJ...4.5947H. doi:10.4249/scholarpedia.5947.
Hinton, G. E. (2002). "Training Products of Experts by Minimizing Contrastive Divergence" (PDF). Neural Computation. 14 (8): 1771–1800. doi:10.1162/089976602760128018. PMID 12180402. S2CID 207596505.

harvard.edu

ui.adsabs.harvard.edu

Sherrington, David; Kirkpatrick, Scott (1975), "Solvable Model of a Spin-Glass", Physical Review Letters, 35 (35): 1792–1796, Bibcode:1975PhRvL..35.1792S, doi:10.1103/PhysRevLett.35.1792
Hinton, G. E.; Salakhutdinov, R. R. (2006). "Reducing the Dimensionality of Data with Neural Networks" (PDF). Science. 313 (5786): 504–507. Bibcode:2006Sci...313..504H. doi:10.1126/science.1127647. PMID 16873662. S2CID 1658773. Archived from the original (PDF) on 2015-12-23. Retrieved 2015-12-02.
Carleo, Giuseppe; Troyer, Matthias (2017-02-10). "Solving the quantum many-body problem with artificial neural networks". Science. 355 (6325): 602–606. arXiv:1606.02318. Bibcode:2017Sci...355..602C. doi:10.1126/science.aag2302. ISSN 0036-8075. PMID 28183973. S2CID 206651104.
Melko, Roger G.; Carleo, Giuseppe; Carrasquilla, Juan; Cirac, J. Ignacio (September 2019). "Restricted Boltzmann machines in quantum physics". Nature Physics. 15 (9): 887–892. Bibcode:2019NatPh..15..887M. doi:10.1038/s41567-019-0545-1. ISSN 1745-2481. S2CID 256704838.
Hinton, G. (2009). "Deep belief networks". Scholarpedia. 4 (5): 5947. Bibcode:2009SchpJ...4.5947H. doi:10.4249/scholarpedia.5947.
María Angélica Cueto; Jason Morton; Bernd Sturmfels (2010). "Geometry of the restricted Boltzmann machine". Algebraic Methods in Statistics and Probability. 516. American Mathematical Society. arXiv:0908.4425. Bibcode:2009arXiv0908.4425A.

machinelearning.org

Larochelle, H.; Bengio, Y. (2008). Classification using discriminative restricted Boltzmann machines (PDF). Proceedings of the 25th international conference on Machine learning - ICML '08. p. 536. doi:10.1145/1390156.1390224. ISBN 978-1-60558-205-4.

nih.gov

pubmed.ncbi.nlm.nih.gov

Hinton, G. E.; Salakhutdinov, R. R. (2006). "Reducing the Dimensionality of Data with Neural Networks" (PDF). Science. 313 (5786): 504–507. Bibcode:2006Sci...313..504H. doi:10.1126/science.1127647. PMID 16873662. S2CID 1658773. Archived from the original (PDF) on 2015-12-23. Retrieved 2015-12-02.
Bravi, Barbara; Di Gioacchino, Andrea; Fernandez-de-Cossio-Diaz, Jorge; Walczak, Aleksandra M; Mora, Thierry; Cocco, Simona; Monasson, Rémi (2023-09-08). Bitbol, Anne-Florence; Eisen, Michael B (eds.). "A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity". eLife. 12: e85126. doi:10.7554/eLife.85126. ISSN 2050-084X. PMC 10522340. PMID 37681658.
Carleo, Giuseppe; Troyer, Matthias (2017-02-10). "Solving the quantum many-body problem with artificial neural networks". Science. 355 (6325): 602–606. arXiv:1606.02318. Bibcode:2017Sci...355..602C. doi:10.1126/science.aag2302. ISSN 0036-8075. PMID 28183973. S2CID 206651104.
Hinton, G. E. (2002). "Training Products of Experts by Minimizing Contrastive Divergence" (PDF). Neural Computation. 14 (8): 1771–1800. doi:10.1162/089976602760128018. PMID 12180402. S2CID 207596505.

ncbi.nlm.nih.gov

Bravi, Barbara; Di Gioacchino, Andrea; Fernandez-de-Cossio-Diaz, Jorge; Walczak, Aleksandra M; Mora, Thierry; Cocco, Simona; Monasson, Rémi (2023-09-08). Bitbol, Anne-Florence; Eisen, Michael B (eds.). "A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity". eLife. 12: e85126. doi:10.7554/eLife.85126. ISSN 2050-084X. PMC 10522340. PMID 37681658.

nips.cc

books.nips.cc

Ruslan Salakhutdinov and Geoffrey Hinton (2010). Replicated softmax: an undirected topic model Archived 2012-05-25 at the Wayback Machine. Neural Information Processing Systems 23.

psu.edu

citeseerx.ist.psu.edu

Miguel Á. Carreira-Perpiñán and Geoffrey Hinton (2005). On contrastive divergence learning. Artificial Intelligence and Statistics.

semanticscholar.org

api.semanticscholar.org

Hinton, G. E.; Salakhutdinov, R. R. (2006). "Reducing the Dimensionality of Data with Neural Networks" (PDF). Science. 313 (5786): 504–507. Bibcode:2006Sci...313..504H. doi:10.1126/science.1127647. PMID 16873662. S2CID 1658773. Archived from the original (PDF) on 2015-12-23. Retrieved 2015-12-02.
Carleo, Giuseppe; Troyer, Matthias (2017-02-10). "Solving the quantum many-body problem with artificial neural networks". Science. 355 (6325): 602–606. arXiv:1606.02318. Bibcode:2017Sci...355..602C. doi:10.1126/science.aag2302. ISSN 0036-8075. PMID 28183973. S2CID 206651104.
Melko, Roger G.; Carleo, Giuseppe; Carrasquilla, Juan; Cirac, J. Ignacio (September 2019). "Restricted Boltzmann machines in quantum physics". Nature Physics. 15 (9): 887–892. Bibcode:2019NatPh..15..887M. doi:10.1038/s41567-019-0545-1. ISSN 1745-2481. S2CID 256704838.
Hinton, G. E. (2002). "Training Products of Experts by Minimizing Contrastive Divergence" (PDF). Neural Computation. 14 (8): 1771–1800. doi:10.1162/089976602760128018. PMID 12180402. S2CID 207596505.

stanford.edu

Smolensky, Paul (1986). "Chapter 6: Information Processing in Dynamical Systems: Foundations of Harmony Theory" (PDF). In Rumelhart, David E.; McLelland, James L. (eds.). Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 1: Foundations. MIT Press. pp. 194–281. ISBN 0-262-68053-X.

cs.stanford.edu

Coates, Adam; Lee, Honglak; Ng, Andrew Y. (2011). An analysis of single-layer networks in unsupervised feature learning (PDF). International Conference on Artificial Intelligence and Statistics (AISTATS). Archived from the original (PDF) on 2014-12-20. Retrieved 2014-12-19.

toronto.edu

cs.toronto.edu

Hinton, G. E.; Salakhutdinov, R. R. (2006). "Reducing the Dimensionality of Data with Neural Networks" (PDF). Science. 313 (5786): 504–507. Bibcode:2006Sci...313..504H. doi:10.1126/science.1127647. PMID 16873662. S2CID 1658773. Archived from the original (PDF) on 2015-12-23. Retrieved 2015-12-02.
Geoffrey Hinton (2010). A Practical Guide to Training Restricted Boltzmann Machines. UTML TR 2010–003, University of Toronto.
Hinton, G. E. (2002). "Training Products of Experts by Minimizing Contrastive Divergence" (PDF). Neural Computation. 14 (8): 1771–1800. doi:10.1162/089976602760128018. PMID 12180402. S2CID 207596505.

ucl.ac.uk

gatsby.ucl.ac.uk

Geoffrey Hinton (1999). Products of Experts. ICANN 1999.

web.archive.org

Hinton, G. E.; Salakhutdinov, R. R. (2006). "Reducing the Dimensionality of Data with Neural Networks" (PDF). Science. 313 (5786): 504–507. Bibcode:2006Sci...313..504H. doi:10.1126/science.1127647. PMID 16873662. S2CID 1658773. Archived from the original (PDF) on 2015-12-23. Retrieved 2015-12-02.
Coates, Adam; Lee, Honglak; Ng, Andrew Y. (2011). An analysis of single-layer networks in unsupervised feature learning (PDF). International Conference on Artificial Intelligence and Statistics (AISTATS). Archived from the original (PDF) on 2014-12-20. Retrieved 2014-12-19.
Ruslan Salakhutdinov and Geoffrey Hinton (2010). Replicated softmax: an undirected topic model Archived 2012-05-25 at the Wayback Machine. Neural Information Processing Systems 23.
Sutskever, Ilya; Tieleman, Tijmen (2010). "On the convergence properties of contrastive divergence" (PDF). Proc. 13th Int'l Conf. On AI and Statistics (AISTATS). Archived from the original (PDF) on 2015-06-10.
Asja Fischer and Christian Igel. Training Restricted Boltzmann Machines: An Introduction Archived 2015-06-10 at the Wayback Machine. Pattern Recognition 47, pp. 25-39, 2014

worldcat.org

search.worldcat.org

Bravi, Barbara; Di Gioacchino, Andrea; Fernandez-de-Cossio-Diaz, Jorge; Walczak, Aleksandra M; Mora, Thierry; Cocco, Simona; Monasson, Rémi (2023-09-08). Bitbol, Anne-Florence; Eisen, Michael B (eds.). "A transfer-learning approach to predict antigen immunogenicity and T-cell receptor specificity". eLife. 12: e85126. doi:10.7554/eLife.85126. ISSN 2050-084X. PMC 10522340. PMID 37681658.
Carleo, Giuseppe; Troyer, Matthias (2017-02-10). "Solving the quantum many-body problem with artificial neural networks". Science. 355 (6325): 602–606. arXiv:1606.02318. Bibcode:2017Sci...355..602C. doi:10.1126/science.aag2302. ISSN 0036-8075. PMID 28183973. S2CID 206651104.
Melko, Roger G.; Carleo, Giuseppe; Carrasquilla, Juan; Cirac, J. Ignacio (September 2019). "Restricted Boltzmann machines in quantum physics". Nature Physics. 15 (9): 887–892. Bibcode:2019NatPh..15..887M. doi:10.1038/s41567-019-0545-1. ISSN 1745-2481. S2CID 256704838.

wustl.edu

machinelearning.wustl.edu

Sutskever, Ilya; Tieleman, Tijmen (2010). "On the convergence properties of contrastive divergence" (PDF). Proc. 13th Int'l Conf. On AI and Statistics (AISTATS). Archived from the original (PDF) on 2015-06-10.