Apprendimento automatico (Italian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Apprendimento automatico" in Italian language version.

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6doi.org

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3worldcat.org

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2researchgate.net

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archive.org

Nicolas Le Roux, Yoshua Bengio e Andrew Fitzgibbon, Improving First and Second-Order Methods by Modeling Uncertainty, in Suvrit Sra, Sebastian Nowozin e Stephen J. Wright (a cura di), Optimization for Machine Learning, MIT Press, 2012, p. 404.

books.google.com

Ethem Alpaydin. "Introduction to Machine Learning" The MIT Press, 2010

britannica.com

https://www.britannica.com/EBchecked/topic/1116194/machine-learning

darkreading.com

http://www.darkreading.com/threat-intelligence/3-flavors-of-machine-learning--who-what-and-where/a/d-id/1324278

doi.org

dx.doi.org

Junyan Hu, Hanlin Niu e Joaquin Carrasco, Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning, in IEEE Transactions on Vehicular Technology, vol. 69, n. 12, 2020-12, pp. 14413–14423, DOI:10.1109/TVT.2020.3034800. URL consultato il 20 maggio 2022.
(EN) Alan Turing, COMPUTING MACHINERY AND INTELLIGENCE, in MIND, vol. 59, n. 236, ottobre 1950, pp. 433–460, DOI:10.1093/mind/LIX.236.433. URL consultato l'8 giugno 2016 (archiviato dall'url originale il 12 aprile 2016).
(EN) Pat Langley, The changing science of machine learning, in Machine Learning, vol. 82, ottobre 2011, pp. 275–279, DOI:10.1007/s10994-011-5242-y.
(EN) Kunihiko Fukushima, Cognitron: A self-organizing multilayered neural network, in Biological Cybernetics, vol. 20, n. 3, 1º settembre 1975, pp. 121–136, DOI:10.1007/BF00342633. URL consultato il 12 novembre 2019.
(EN) George W. Bassel, Enrico Blaab, Julietta Marquez, Michael J. Holdsworth e Jaume Bacardit, Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets, in The Plant Cell, vol. 23, n. 9, settembre 2011, pp. 3101–3116, DOI:10.1105/tpc.111.088153, ISSN 1532-298X (WC · ACNP), PMID 21896882.

doi.org

(EN) Kunihiko Fukushima, Cognitron: A self-organizing multilayered neural network, in Biological Cybernetics, vol. 20, n. 3, 1º settembre 1975, pp. 121–136, DOI:10.1007/BF00342633. URL consultato il 12 novembre 2019.

freedom-to-tinker.com

harveycohen.net

(EN) Harvey Cohen, The Perceptron, su harveycohen.net. URL consultato il 5 giugno 2016.

hpcwire.com

Quantum AI Breakthrough: New Theorem Shrinks Need for Training Data, su hpcwire.com, 24 agosto 2022.

ibm.com

research.ibm.com

G. Tesauro, "Temporal difference learning and TD-Gammon." Comm. of the ACM 38:3, 58-68 (1995). TML version at: https://www.research.ibm.com/massive/tdl.html Archiviato l'11 gennaio 2013 in Internet Archive.

ieee.org

ieeexplore.ieee.org

Junyan Hu, Hanlin Niu e Joaquin Carrasco, Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning, in IEEE Transactions on Vehicular Technology, vol. 69, n. 12, 2020-12, pp. 14413–14423, DOI:10.1109/TVT.2020.3034800. URL consultato il 20 maggio 2022.

joelsimon.net

Evolving Floorplans, su joelsimon.net.

latimes.com

Charles A. Christy, Impact of Artificial Intelligence on Banking, su Los Angeles Times, 17 gennaio 1990. URL consultato il 10 settembre 2019.

nih.gov

ncbi.nlm.nih.gov

(EN) George W. Bassel, Enrico Blaab, Julietta Marquez, Michael J. Holdsworth e Jaume Bacardit, Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets, in The Plant Cell, vol. 23, n. 9, settembre 2011, pp. 3101–3116, DOI:10.1105/tpc.111.088153, ISSN 1532-298X (WC · ACNP), PMID 21896882.

oadoi.org

(EN) Pat Langley, The changing science of machine learning, in Machine Learning, vol. 82, ottobre 2011, pp. 275–279, DOI:10.1007/s10994-011-5242-y.

plantcell.org

(EN) George W. Bassel, Enrico Blaab, Julietta Marquez, Michael J. Holdsworth e Jaume Bacardit, Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets, in The Plant Cell, vol. 23, n. 9, settembre 2011, pp. 3101–3116, DOI:10.1105/tpc.111.088153, ISSN 1532-298X (WC · ACNP), PMID 21896882.

projecteuclid.org

(EN) L. Breiman, Statistical Modeling: The Two Cultures, su projecteuclid, Cornell University Library. URL consultato l'8 agosto 2015.

psu.edu

citeseerx.ist.psu.edu

Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng. "Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations" Proceedings of the 26th Annual International Conference on Machine Learning, 2009

reddit.com

(EN) M. I. Jordan, statistics and machine learning, su reddit, 10 settembre 2014. URL consultato il 1º ottobre 2014.

researchgate.net

Giuseppe Gallo, Fulvio Wirz e Giovanni Francesco Tuzzolino, The role of Artificial Intelligence in architectural design: conversation with designers and researchers, in Proceedings of S.Arch 2020, the 7th international conference on architecture and built environment - Tokyo.
Giuseppe Gallo, Architettura e second digital turn, l'evoluzione degli strumenti informatici e il progetto, Tesi dottorale, Università degli studi di Palermo, 2021.

slideshare.net

(EN) Robert Colner, A brief history of machine learning, su slideshare.net. URL consultato il 5 giugno 2016.

techcrunch.com

TechCrunch.

unibo.it

acnpsearch.unibo.it

(EN) George W. Bassel, Enrico Blaab, Julietta Marquez, Michael J. Holdsworth e Jaume Bacardit, Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets, in The Plant Cell, vol. 23, n. 9, settembre 2011, pp. 3101–3116, DOI:10.1105/tpc.111.088153, ISSN 1532-298X (WC · ACNP), PMID 21896882.

web.archive.org

(EN) Alan Turing, COMPUTING MACHINERY AND INTELLIGENCE, in MIND, vol. 59, n. 236, ottobre 1950, pp. 433–460, DOI:10.1093/mind/LIX.236.433. URL consultato l'8 giugno 2016 (archiviato dall'url originale il 12 aprile 2016).
(EN) Gareth James, Daniela Witten, Trevor Hastie e Robert Tibshirani, An Introduction to Statistical Learning, Springer, 2013, p. vii. URL consultato il 14 dicembre 2016 (archiviato dall'url originale il 23 giugno 2019).
G. Tesauro, "Temporal difference learning and TD-Gammon." Comm. of the ACM 38:3, 58-68 (1995). TML version at: https://www.research.ibm.com/massive/tdl.html Archiviato l'11 gennaio 2013 in Internet Archive.
Matthew F. Dixon, Igor Halperin, Paul Bilokon, Machine Learning in Finance: From Theory to Practice, Springer, 2021, ISBN 9783030410674. URL consultato il 2 settembre 2021 (archiviato dall'url originale il 2 settembre 2021).
(EN) Nick Bostrom, The Ethics of Artificial Intelligence (PDF), su nickbostrom.com, 2011. URL consultato l'11 aprile 2016 (archiviato dall'url originale il 4 marzo 2016).

wiley.com

onlinelibrary.wiley.com

David Rutten, Galapagos: On the Logic and Limitations of Generic Solvers, in Architectural Design, vol. 83, n. 2.

worldcat.org

De Mauro, Andrea., Big data analytics : guida per iniziare a classificare e interpretare dati con il machine learning, Apogeo, 2019, ISBN 9788850334780, OCLC 1065010076. URL consultato il 10 novembre 2019.
Bishop, Christopher M., Pattern recognition and machine learning, Springer, 2006, ISBN 0387310738, OCLC 71008143. URL consultato il 10 novembre 2019.
(EN) George W. Bassel, Enrico Blaab, Julietta Marquez, Michael J. Holdsworth e Jaume Bacardit, Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets, in The Plant Cell, vol. 23, n. 9, settembre 2011, pp. 3101–3116, DOI:10.1105/tpc.111.088153, ISSN 1532-298X (WC · ACNP), PMID 21896882.

youtube.com

Science in Action (TV series) television program produced by the California Academy of Sciences, su youtube.com.