بهینه‌سازی ابرپارامترها (Persian Wikipedia)

Analysis of information sources in references of the Wikipedia article "بهینه‌سازی ابرپارامترها" in Persian language version.

refsWebsite

Global rank Persian rank

16arxiv.org

69^th place

253^rd place

6doi.org

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4worldcat.org

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2nips.cc

low place

2nih.gov

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1springer.com

274^th place

506^th place

1mit.edu

415^th place

696^th place

1ntu.edu.tw

2,798^th place

5,776^th place

1jair.org

low place

1ubc.ca

1,997^th place

2,449^th place

1psu.edu

207^th place

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1ieee.org

652^nd place

1,509^th place

1jmlr.org

low place

1web.archive.org

1^st place

1sciencedirect.com

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arxiv.org

Claesen, Marc; Bart De Moor (2015). "Hyperparameter Search in Machine Learning". arXiv:1502.02127 cs.LG.
Snoek, Jasper; Larochelle, Hugo; Adams, Ryan P. (2012-08-29). "Practical Bayesian Optimization of Machine Learning Algorithms". arXiv:1206.2944 [cs, stat].
Thornton, Chris; Hutter, Frank; Hoos, Holger H.; Leyton-Brown, Kevin (2013-03-06). "Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms". arXiv:1208.3719 [cs].
Maclaurin, Douglas; Duvenaud, David; Adams, Ryan P. (2015). "Gradient-based Hyperparameter Optimization through Reversible Learning". arXiv:1502.03492 [stat.ML].
Franceschi, Luca; Donini, Michele; Frasconi, Paolo; Pontil, Massimiliano (2017-12-12). "Forward and Reverse Gradient-Based Hyperparameter Optimization". arXiv:1703.01785 [stat].
Shaban, A., Cheng, C. A., Hatch, N., & Boots, B. (2019, April). Truncated back-propagation for bilevel optimization. In The 22nd International Conference on Artificial Intelligence and Statistics (pp. 1723-1732). PMLR.
Lorraine, J., & Duvenaud, D. (2018). Stochastic hyperparameter optimization through hypernetworks. arXiv preprint arXiv:1802.09419.
MacKay, M., Vicol, P., Lorraine, J., Duvenaud, D., & Grosse, R. (2019). Self-tuning networks: Bilevel optimization of hyperparameters using structured best-response functions. arXiv preprint arXiv:1903.03088.
Bae, J., & Grosse, R. B. (2020). Delta-stn: Efficient bilevel optimization for neural networks using structured response jacobians. Advances in Neural Information Processing Systems, 33, 21725-21737.
Liu, H., Simonyan, K., & Yang, Y. (2018). Darts: Differentiable architecture search. arXiv preprint arXiv:1806.09055.
Miikkulainen R, Liang J, Meyerson E, Rawal A, Fink D, Francon O, Raju B, Shahrzad H, Navruzyan A, Duffy N, Hodjat B (2017). "Evolving Deep Neural Networks". arXiv:1703.00548 [cs.NE].
Jaderberg M, Dalibard V, Osindero S, Czarnecki WM, Donahue J, Razavi A, Vinyals O, Green T, Dunning I, Simonyan K, Fernando C, Kavukcuoglu K (2017). "Population Based Training of Neural Networks". arXiv:1711.09846 [cs.LG].
Such FP, Madhavan V, Conti E, Lehman J, Stanley KO, Clune J (2017). "Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning". arXiv:1712.06567 [cs.NE].
Li, Ang; Spyra, Ola; Perel, Sagi; Dalibard, Valentin; Jaderberg, Max; Gu, Chenjie; Budden, David; Harley, Tim; Gupta, Pramod (2019-02-05). "A Generalized Framework for Population Based Training". arXiv:1902.01894 [cs.AI].
Diaz, Gonzalo; Fokoue, Achille; Nannicini, Giacomo; Samulowitz, Horst (2017). "An effective algorithm for hyperparameter optimization of neural networks". arXiv:1705.08520 [cs.AI].
Hazan, Elad; Klivans, Adam; Yuan, Yang (2017). "Hyperparameter Optimization: A Spectral Approach". arXiv:1706.00764 [cs.LG].

doi.org

Chicco, Davide (2017-12-08). "Ten quick tips for machine learning in computational biology". BioData Mining. 10 (1): 35. doi:10.1186/s13040-017-0155-3. ISSN 1756-0381. PMC 5721660. PMID 29234465.{{cite journal}}: نگهداری یادکرد:فرمت پارامتر PMC (link)
Wang, Ziyu; Hutter, Frank; Zoghi, Masrour; Matheson, David; Feitas, Nando de (2016-02-19). "Bayesian Optimization in a Billion Dimensions via Random Embeddings". Journal of Artificial Intelligence Research (به انگلیسی). 55: 361–387. doi:10.1613/jair.4806. ISSN 1076-9757.
Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2011), "Sequential model-based optimization for general algorithm configuration" (PDF), Learning and Intelligent Optimization, Lecture Notes in Computer Science, 6683: 507–523, CiteSeerX 10.1.1.307.8813, doi:10.1007/978-3-642-25566-3_40, ISBN 978-3-642-25565-6
Larsen, J.; Hansen, L.K.; Svarer, C.; Ohlsson, M. (1996-09). "Design and regularization of neural networks: the optimal use of a validation set". Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop: 62–71. doi:10.1109/NNSP.1996.548336. {{cite journal}}: Check date values in: |date= (help)
Chapelle, Olivier; Vapnik, Vladimir; Bousquet, Olivier; Mukherjee, Sayan (2002-01-01). "Choosing Multiple Parameters for Support Vector Machines". Machine Learning (به انگلیسی). 46 (1): 131–159. doi:10.1023/A:1012450327387. ISSN 1573-0565.
Kousiouris, George; Cucinotta, Tommaso; Varvarigou, Theodora (2011-08-01). "The effects of scheduling, workload type and consolidation scenarios on virtual machine performance and their prediction through optimized artificial neural networks". Journal of Systems and Software (به انگلیسی). 84 (8): 1270–1291. doi:10.1016/j.jss.2011.04.013. ISSN 0164-1212.

ieee.org

ieeexplore.ieee.org

Larsen, J.; Hansen, L.K.; Svarer, C.; Ohlsson, M. (1996-09). "Design and regularization of neural networks: the optimal use of a validation set". Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop: 62–71. doi:10.1109/NNSP.1996.548336. {{cite journal}}: Check date values in: |date= (help)

jair.org

Wang, Ziyu; Hutter, Frank; Zoghi, Masrour; Matheson, David; Feitas, Nando de (2016-02-19). "Bayesian Optimization in a Billion Dimensions via Random Embeddings". Journal of Artificial Intelligence Research (به انگلیسی). 55: 361–387. doi:10.1613/jair.4806. ISSN 1076-9757.

jmlr.org

Domke, Justin (2012). "Generic Methods for Optimization-Based Modeling" بایگانی‌شده در ۲۴ ژانویه ۲۰۱۴ توسط Wayback Machine (PDF). Aistats. 22.

mit.edu

jmlr.csail.mit.edu

Bergstra، James؛ Bengio، Yoshua (۲۰۱۲). «Random Search for Hyper-Parameter Optimization» (PDF). Journal of Machine Learning Research. ۱۳: ۲۸۱-۳۰۵.

nih.gov

ncbi.nlm.nih.gov

Chicco, Davide (2017-12-08). "Ten quick tips for machine learning in computational biology". BioData Mining. 10 (1): 35. doi:10.1186/s13040-017-0155-3. ISSN 1756-0381. PMC 5721660. PMID 29234465.{{cite journal}}: نگهداری یادکرد:فرمت پارامتر PMC (link)

pubmed.ncbi.nlm.nih.gov

Chicco, Davide (2017-12-08). "Ten quick tips for machine learning in computational biology". BioData Mining. 10 (1): 35. doi:10.1186/s13040-017-0155-3. ISSN 1756-0381. PMC 5721660. PMID 29234465.{{cite journal}}: نگهداری یادکرد:فرمت پارامتر PMC (link)

nips.cc

papers.nips.cc

Bergstra, James; Bardenet, Remi; Bengio, Yoshua; Kegl, Balazs (2011), "Algorithms for hyper-parameter optimization" (PDF), Advances in Neural Information Processing Systems
Chuong B; Chuan-Sheng Foo; Andrew Y Ng (2008). "Efficient multiple hyperparameter learning for log-linear models" (PDF). Advances in Neural Information Processing Systems 20.

ntu.edu.tw

csie.ntu.edu.tw

Chin-Wei Hsu, Chih-Chung Chang and Chih-Jen Lin (2010). A practical guide to support vector classification. Technical Report, دانشگاه ملی تایوان.

psu.edu

citeseerx.ist.psu.edu

Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2011), "Sequential model-based optimization for general algorithm configuration" (PDF), Learning and Intelligent Optimization, Lecture Notes in Computer Science, 6683: 507–523, CiteSeerX 10.1.1.307.8813, doi:10.1007/978-3-642-25566-3_40, ISBN 978-3-642-25565-6

sciencedirect.com

Kousiouris, George; Cucinotta, Tommaso; Varvarigou, Theodora (2011-08-01). "The effects of scheduling, workload type and consolidation scenarios on virtual machine performance and their prediction through optimized artificial neural networks". Journal of Systems and Software (به انگلیسی). 84 (8): 1270–1291. doi:10.1016/j.jss.2011.04.013. ISSN 0164-1212.

springer.com

link.springer.com

Matthias Feurer and Frank Hutter. Hyperparameter optimization. In: AutoML: Methods, Systems, Challenges, pages 3–38.

ubc.ca

cs.ubc.ca

Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2011), "Sequential model-based optimization for general algorithm configuration" (PDF), Learning and Intelligent Optimization, Lecture Notes in Computer Science, 6683: 507–523, CiteSeerX 10.1.1.307.8813, doi:10.1007/978-3-642-25566-3_40, ISBN 978-3-642-25565-6

web.archive.org

Domke, Justin (2012). "Generic Methods for Optimization-Based Modeling" بایگانی‌شده در ۲۴ ژانویه ۲۰۱۴ توسط Wayback Machine (PDF). Aistats. 22.

worldcat.org

Chicco, Davide (2017-12-08). "Ten quick tips for machine learning in computational biology". BioData Mining. 10 (1): 35. doi:10.1186/s13040-017-0155-3. ISSN 1756-0381. PMC 5721660. PMID 29234465.{{cite journal}}: نگهداری یادکرد:فرمت پارامتر PMC (link)
Wang, Ziyu; Hutter, Frank; Zoghi, Masrour; Matheson, David; Feitas, Nando de (2016-02-19). "Bayesian Optimization in a Billion Dimensions via Random Embeddings". Journal of Artificial Intelligence Research (به انگلیسی). 55: 361–387. doi:10.1613/jair.4806. ISSN 1076-9757.
Chapelle, Olivier; Vapnik, Vladimir; Bousquet, Olivier; Mukherjee, Sayan (2002-01-01). "Choosing Multiple Parameters for Support Vector Machines". Machine Learning (به انگلیسی). 46 (1): 131–159. doi:10.1023/A:1012450327387. ISSN 1573-0565.
Kousiouris, George; Cucinotta, Tommaso; Varvarigou, Theodora (2011-08-01). "The effects of scheduling, workload type and consolidation scenarios on virtual machine performance and their prediction through optimized artificial neural networks". Journal of Systems and Software (به انگلیسی). 84 (8): 1270–1291. doi:10.1016/j.jss.2011.04.013. ISSN 0164-1212.