Libros sobre el tema "Self-supervised learning (artificial intelligence)"
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Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Buscar texto completoKanerva, Pentti. The organization of an autonomous learning system. Moffett Field, CA: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1988.
Buscar texto completoEkici, Berk. Towards self-sufficient high-rises: Performance optimisation using artificial intelligence. Delft: BK Books, 2022.
Buscar texto completoHe, Haibo. Self-adaptive systems for machine intelligence. Hoboken, N.J: Wiley-Interscience, 2011.
Buscar texto completoNajim, K. Learning automata: Theory and applications. Oxford, OX, U.K: Pergamon, 1994.
Buscar texto completoWang, Huaiqing. Manufacturing intelligence for industrial engineering: Methods for system self-organization, learning, and adaptation. Hershey PA: Engineering Science Reference, 2010.
Buscar texto completoZhou, Zude. Manufacturing intelligence for industrial engineering: Methods for system self-organization, learning, and adaptation. Hershey PA: Engineering Science Reference, 2010.
Buscar texto completoZhou, Zude. Manufacturing intelligence for industrial engineering: Methods for system self-organization, learning, and adaptation. Hershey PA: Engineering Science Reference, 2010.
Buscar texto completoZhou, Zude. Manufacturing intelligence for industrial engineering: Methods for system self-organization, learning, and adaptation. Hershey, PA: Engineering Science Reference, 2010.
Buscar texto completoKlimenko, A. V. Osnovy estestvennogo intellekta: Rekurrentnai͡a︡ teorii͡a︡ samoorganizat͡s︡ii : versii͡a︡ 3. Rostov-na-Donu: Izd-vo Rostovskogo universiteta, 1994.
Buscar texto completoFriedman, Jerome. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. New York, NY: Springer-Verlag New York, 2009.
Buscar texto completoSong, In-sŏp. Waildŭ: Song In-sŏp Kyosu ŭi A·I sidae kamsŏng ch'angjo kyoyukpŏp = Wild. 8a ed. Kyŏnggi-do P'aju-si: Tasan Edyu, 2020.
Buscar texto completoHastie, Trevor. The elements of statistical learning: Data mining, inference, and prediction. New York: Springer, 2001.
Buscar texto completoHeuer, Herbert. Motor Behavior: Programming, Control, and Acquisition. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985.
Buscar texto completoHastie, Trevor. The elements of statistical learning: Data mining, inference, and prediction : with 200 full-color illustrations. New York: Springer, 2001.
Buscar texto completoAcuña, Ana Isabel González. Contributions to unsupervised and supervised learning with applications in digital image processing: Dissertation presented to the Department Of Computer Science and Artificial Intelligence in partial fulfillment of the requeriments for the degree of Doctor of Philosophy. [Lejona, Vizcaya]: Universidad del País Vasco, Servicio Editorial = Euskal Herriko Unibertsitatea, Argitalpen Zerbitzua, 2012.
Buscar texto completoPartially Supervised Learning. Springer-Verlag Berlin and Heidelberg GmbH &, 2012.
Buscar texto completoGoldberg, Andrew y Xiaojin Zhu. Introduction to Semi-supervised Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning). Morgan & Claypool Publishers, 2008.
Buscar texto completoBateman, Blaine, Benjamin Johnston, Ishita Mathur y Ashish Ranjan Jha. the Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition. Packt Publishing, Limited, 2020.
Buscar texto completoGraves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Springer, 2012.
Buscar texto completoGraves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Springer Berlin / Heidelberg, 2014.
Buscar texto completoVallor, Shannon y George A. Bekey. Artificial Intelligence and the Ethics of Self-Learning Robots. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190652951.003.0022.
Texto completoSawarkar, Kunal y Dheeraj Arremsetty. Deep Learning with PyTorch Lightning: Build and Train High-Performance Artificial Intelligence and Self-Supervised Models Using Python. Packt Publishing, Limited, 2021.
Buscar texto completoApplications Of Supervised And Unsupervised Ensemble Methods. Springer, 2009.
Buscar texto completoProudfoot, Diane y B. Jack Copeland. Artificial Intelligence. Editado por Eric Margolis, Richard Samuels y Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0007.
Texto completoAutonomous Learning Systems. John Wiley & Sons, 2013.
Buscar texto completoEhrenmueller-Jensen, Markus. Self-Service AI with Power BI Desktop: Machine Learning Insights for Business. Apress L. P., 2020.
Buscar texto completoNajim, K. y A. S. Poznyak. Learning Automata: Theory and Applications. Elsevier Science & Technology Books, 2014.
Buscar texto completoSupervised and Unsupervised Ensemble Methods and Their Applications Studies in Computational Intelligence. Springer, 2008.
Buscar texto completoVillmann, Thomas, Frank-Michael Schleif, Marika Kaden y Mandy Lange. Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4 2014. Springer London, Limited, 2014.
Buscar texto completoEliot, Lance. Improving AI Self-Driving Cars: Practical Advances in Artificial Intelligence and Machine Learning. LBE Press Publishing, 2021.
Buscar texto completoEliot, Lance. Revelatory AI Self-Driving Cars: Practical Advances in Artificial Intelligence and Machine Learning. LBE Press Publishing, 2021.
Buscar texto completoEliot, Lance. AI Self-Driving Cars Imminence: Practical Advances in Artificial Intelligence and Machine Learning. LBE Press Publishing, 2021.
Buscar texto completoEliot, Lance. Edifying AI Self-Driving Cars: Practical Advances in Artificial Intelligence and Machine Learning. LBE Press Publishing, 2021.
Buscar texto completoVillmann, Thomas, Frank-Michael Schleif, Marika Kaden y Mandy Lange. Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, ... in Intelligent Systems and Computing). Springer, 2014.
Buscar texto completoLanham, Micheal. Hands-On Reinforcement Learning for Games: Implementing Self-Learning Agents in Games Using Artificial Intelligence Techniques. Packt Publishing, Limited, 2020.
Buscar texto completoDutta, Sayon. Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym. Packt Publishing, 2018.
Buscar texto completoAngelov, Plamen. Autonomous Learning Systems: From Data Streams to Knowledge in Real-Time. Wiley & Sons, Limited, John, 2012.
Buscar texto completoAngelov, Plamen. Autonomous Learning Systems: From Data Streams to Knowledge in Real-Time. Wiley & Sons, Incorporated, John, 2012.
Buscar texto completoAngelov, Plamen. Autonomous Learning Systems: From Data Streams to Knowledge in Real-Time. Wiley & Sons, Incorporated, John, 2012.
Buscar texto completoAngelov, Plamen. Autonomous Learning Systems: From Data Streams to Knowledge in Real-Time. Wiley & Sons, Incorporated, John, 2012.
Buscar texto completoGeraci, Robert M. Futures of Artificial Intelligence. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9788194831679.001.0001.
Texto completoEliot, Dr Lance. Transformative Artificial Intelligence Driverless Self-Driving Cars: Practical Advances in AI and Machine Learning. LBE Press Publishing, 2018.
Buscar texto completoMenshawy, Ahmed. Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks. Packt Publishing - ebooks Account, 2018.
Buscar texto completoEliot, Dr Lance. Disruptive Artificial Intelligence and Driverless Self-Driving Cars: Practical Advances in Machine Learning and AI. LBE Press Publishing, 2018.
Buscar texto completoEliot, Dr Lance. Revolutionary Innovations of AI Self-Driving Cars: Practical Advances in Artificial Intelligence and Machine Learning. LBE Press Publishing, 2018.
Buscar texto completoWodecki, Andrzej. Artificial Intelligence in Management: Self-Learning and Autonomous Systems As Key Drivers of Value Creation. Elgar Publishing Limited, Edward, 2020.
Buscar texto completoZhou, Zhi-Hua y Friedhelm Schwenker. Partially Supervised Learning: Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers. Springer, 2013.
Buscar texto completoZhou, Zhi-Hua y Friedhelm Schwenker. Partially Supervised Learning: Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers. Springer Berlin / Heidelberg, 2013.
Buscar texto completoSchwenker, Friedhelm y Edmondo Trentin. Partially Supervised Learning: First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers. Springer, 2012.
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