Оптимизација хиперпараметара (Serbian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Оптимизација хиперпараметара" in Serbian language version.

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6arxiv.org

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5doi.org

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3semanticscholar.org

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3nips.cc

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2ubc.ca

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2wikipedia.org

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2psu.edu

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2harvard.edu

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1springer.com

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1mit.edu

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1ntu.edu.tw

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1nih.gov

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1dtu.dk

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1web.archive.org

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1chapelle.cc

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arxiv.org

Claesen, Marc; Bart De Moor. „Hyperparameter Search in Machine Learning”. arXiv:1502.02127  [cs.LG].
Ziyu, Wang; Frank, Hutter; Masrour, Zoghi; David, Matheson; Nando, de Feitas (2016). „Bayesian Optimization in a Billion Dimensions via Random Embeddings”. Journal of Artificial Intelligence Research (на језику: енглески). 55: 361—387. S2CID 279236. arXiv:1301.1942 . doi:10.1613/jair.4806.
Snoek, Jasper; Larochelle, Hugo; Adams, Ryan (2012). „Practical Bayesian Optimization of Machine Learning Algorithms” (PDF). Advances in Neural Information Processing Systems. Bibcode:2012arXiv1206.2944S. arXiv:1206.2944 .
Thornton, Chris; Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2013). „Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms” (PDF). Knowledge Discovery and Data Mining. Bibcode:2012arXiv1208.3719T. arXiv:1208.3719 .
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].

chapelle.cc

Olivier Chapelle; Vladimir Vapnik; Olivier Bousquet; Sayan Mukherjee (2002). „Choosing multiple parameters for support vector machines” (PDF). Machine Learning. 46: 131—159. doi:10.1023/a:1012450327387 . Архивирано из оригинала (PDF) 24. 12. 2016. г. Приступљено 15. 08. 2024.

doi.org

Chicco D (децембар 2017). „Ten quick tips for machine learning in computational biology”. BioData Mining. 10 (35): 35. PMC 5721660 . PMID 29234465. doi:10.1186/s13040-017-0155-3 .
Ziyu, Wang; Frank, Hutter; Masrour, Zoghi; David, Matheson; Nando, de Feitas (2016). „Bayesian Optimization in a Billion Dimensions via Random Embeddings”. Journal of Artificial Intelligence Research (на језику: енглески). 55: 361—387. S2CID 279236. arXiv:1301.1942 . doi:10.1613/jair.4806.
Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2011), „Sequential Model-Based Optimization for General Algorithm Configuration”, Learning and Intelligent Optimization (PDF), Lecture Notes in Computer Science, 6683, стр. 507—523, CiteSeerX 10.1.1.307.8813 , ISBN 978-3-642-25565-6, S2CID 6944647, doi:10.1007/978-3-642-25566-3_40
Larsen, Jan; Hansen, Lars Kai; Svarer, Claus; Ohlsson, M (1996). „Design and regularization of neural networks: The optimal use of a validation set” (PDF). Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop. стр. 62—71. CiteSeerX 10.1.1.415.3266 . ISBN 0-7803-3550-3. S2CID 238874. doi:10.1109/NNSP.1996.548336.
Olivier Chapelle; Vladimir Vapnik; Olivier Bousquet; Sayan Mukherjee (2002). „Choosing multiple parameters for support vector machines” (PDF). Machine Learning. 46: 131—159. doi:10.1023/a:1012450327387 . Архивирано из оригинала (PDF) 24. 12. 2016. г. Приступљено 15. 08. 2024.

dtu.dk

orbit.dtu.dk

Larsen, Jan; Hansen, Lars Kai; Svarer, Claus; Ohlsson, M (1996). „Design and regularization of neural networks: The optimal use of a validation set” (PDF). Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop. стр. 62—71. CiteSeerX 10.1.1.415.3266 . ISBN 0-7803-3550-3. S2CID 238874. doi:10.1109/NNSP.1996.548336.

harvard.edu

adsabs.harvard.edu

Snoek, Jasper; Larochelle, Hugo; Adams, Ryan (2012). „Practical Bayesian Optimization of Machine Learning Algorithms” (PDF). Advances in Neural Information Processing Systems. Bibcode:2012arXiv1206.2944S. arXiv:1206.2944 .
Thornton, Chris; Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2013). „Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms” (PDF). Knowledge Discovery and Data Mining. Bibcode:2012arXiv1208.3719T. arXiv:1208.3719 .

mit.edu

jmlr.csail.mit.edu

Bergstra, James; Bengio, Yoshua (2012). „Random Search for Hyper-Parameter Optimization” (PDF). Journal of Machine Learning Research. 13: 281—305.

nih.gov

ncbi.nlm.nih.gov

Chicco D (децембар 2017). „Ten quick tips for machine learning in computational biology”. BioData Mining. 10 (35): 35. PMC 5721660 . PMID 29234465. doi:10.1186/s13040-017-0155-3 .

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
Snoek, Jasper; Larochelle, Hugo; Adams, Ryan (2012). „Practical Bayesian Optimization of Machine Learning Algorithms” (PDF). Advances in Neural Information Processing Systems. Bibcode:2012arXiv1206.2944S. arXiv:1206.2944 .
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, National Taiwan University.

psu.edu

citeseerx.ist.psu.edu

Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2011), „Sequential Model-Based Optimization for General Algorithm Configuration”, Learning and Intelligent Optimization (PDF), Lecture Notes in Computer Science, 6683, стр. 507—523, CiteSeerX 10.1.1.307.8813 , ISBN 978-3-642-25565-6, S2CID 6944647, doi:10.1007/978-3-642-25566-3_40
Larsen, Jan; Hansen, Lars Kai; Svarer, Claus; Ohlsson, M (1996). „Design and regularization of neural networks: The optimal use of a validation set” (PDF). Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop. стр. 62—71. CiteSeerX 10.1.1.415.3266 . ISBN 0-7803-3550-3. S2CID 238874. doi:10.1109/NNSP.1996.548336.

semanticscholar.org

api.semanticscholar.org

Ziyu, Wang; Frank, Hutter; Masrour, Zoghi; David, Matheson; Nando, de Feitas (2016). „Bayesian Optimization in a Billion Dimensions via Random Embeddings”. Journal of Artificial Intelligence Research (на језику: енглески). 55: 361—387. S2CID 279236. arXiv:1301.1942 . doi:10.1613/jair.4806.
Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2011), „Sequential Model-Based Optimization for General Algorithm Configuration”, Learning and Intelligent Optimization (PDF), Lecture Notes in Computer Science, 6683, стр. 507—523, CiteSeerX 10.1.1.307.8813 , ISBN 978-3-642-25565-6, S2CID 6944647, doi:10.1007/978-3-642-25566-3_40
Larsen, Jan; Hansen, Lars Kai; Svarer, Claus; Ohlsson, M (1996). „Design and regularization of neural networks: The optimal use of a validation set” (PDF). Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop. стр. 62—71. CiteSeerX 10.1.1.415.3266 . ISBN 0-7803-3550-3. S2CID 238874. doi:10.1109/NNSP.1996.548336.

springer.com

link.springer.com

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

ubc.ca

cs.ubc.ca

Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2011), „Sequential Model-Based Optimization for General Algorithm Configuration”, Learning and Intelligent Optimization (PDF), Lecture Notes in Computer Science, 6683, стр. 507—523, CiteSeerX 10.1.1.307.8813 , ISBN 978-3-642-25565-6, S2CID 6944647, doi:10.1007/978-3-642-25566-3_40
Thornton, Chris; Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2013). „Auto-WEKA: Combined selection and hyperparameter optimization of classification algorithms” (PDF). Knowledge Discovery and Data Mining. Bibcode:2012arXiv1208.3719T. arXiv:1208.3719 .

web.archive.org

Olivier Chapelle; Vladimir Vapnik; Olivier Bousquet; Sayan Mukherjee (2002). „Choosing multiple parameters for support vector machines” (PDF). Machine Learning. 46: 131—159. doi:10.1023/a:1012450327387 . Архивирано из оригинала (PDF) 24. 12. 2016. г. Приступљено 15. 08. 2024.

wikipedia.org

en.wikipedia.org

Hutter, Frank; Hoos, Holger; Leyton-Brown, Kevin (2011), „Sequential Model-Based Optimization for General Algorithm Configuration”, Learning and Intelligent Optimization (PDF), Lecture Notes in Computer Science, 6683, стр. 507—523, CiteSeerX 10.1.1.307.8813 , ISBN 978-3-642-25565-6, S2CID 6944647, doi:10.1007/978-3-642-25566-3_40
Larsen, Jan; Hansen, Lars Kai; Svarer, Claus; Ohlsson, M (1996). „Design and regularization of neural networks: The optimal use of a validation set” (PDF). Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop. стр. 62—71. CiteSeerX 10.1.1.415.3266 . ISBN 0-7803-3550-3. S2CID 238874. doi:10.1109/NNSP.1996.548336.