Literatura académica sobre el tema "Machine Learning as a Service"
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Artículos de revistas sobre el tema "Machine Learning as a Service"
Joseph Poulose, Travis y S. Ganesh Kumar. "Service identification using k-NN machine learning". International Journal of Engineering & Technology 7, n.º 2.4 (10 de marzo de 2018): 182. http://dx.doi.org/10.14419/ijet.v7i2.4.13035.
Texto completoWANG, Xinyue, Nobutada FUJII, Toshiya KAIHARA y Daisuke KOKURYO. "SERVICE DESIGN WITH MACHINE LEARNING BASED ON USER ACTION HISTORY". Acta Electrotechnica et Informatica 20, n.º 2 (30 de junio de 2020): 11–18. http://dx.doi.org/10.15546/aeei-2020-0008.
Texto completoBhoite, Sayee N., Vaishnavi D. Gadekar, Shashank V. Kapadnis y Priyanka R. Ghuge. "Churn Prediction using Machine Learning Models". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de mayo de 2023): 2233–36. http://dx.doi.org/10.22214/ijraset.2023.52101.
Texto completoTočelovskis, Andrejs y Artis Teilāns. "MACHINE LEARNING SERVICE FOR STUDENT REGISTRATION". HUMAN. ENVIRONMENT. TECHNOLOGIES. Proceedings of the Students International Scientific and Practical Conference, n.º 24 (22 de abril de 2020): 103–9. http://dx.doi.org/10.17770/het2020.24.6759.
Texto completoZuev, Dmitry, Alexey Kalistratov y Andrey Zuev. "Machine Learning in IT Service Management". Procedia Computer Science 145 (2018): 675–79. http://dx.doi.org/10.1016/j.procs.2018.11.063.
Texto completoZimal, Sudarshan, Chirag Shah, Shivam Borhude, Amit Birajdar y Prof Shreedhar Patil. "Customer Churn Prediction Using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 11, n.º 2 (28 de febrero de 2023): 872–83. http://dx.doi.org/10.22214/ijraset.2023.49142.
Texto completoYin, Hexiao. "Role of Artificial Intelligence Machine Learning in Deepening the Internet Plus Social Work Service". Mathematical Problems in Engineering 2021 (6 de noviembre de 2021): 1–10. http://dx.doi.org/10.1155/2021/6915568.
Texto completoKumaran, N., Purandhar Sri Sai y Lokesh Manikanta. "Web Phishing Detection using Machine Learning". International Journal of Innovative Technology and Exploring Engineering 11, n.º 4 (30 de marzo de 2022): 56–59. http://dx.doi.org/10.35940/ijitee.c9804.0311422.
Texto completoLiu, Ningbo. "An Empirical Study on Machine Learning for Enterprise Cloud Computing Service Management". Asian Journal of Economics, Business and Accounting 23, n.º 9 (28 de marzo de 2023): 48–57. http://dx.doi.org/10.9734/ajeba/2023/v23i9963.
Texto completoHan, Bo y Rongli Zhang. "Virtual Machine Allocation Strategy Based on Statistical Machine Learning". Mathematical Problems in Engineering 2022 (5 de julio de 2022): 1–6. http://dx.doi.org/10.1155/2022/8190296.
Texto completoTesis sobre el tema "Machine Learning as a Service"
Hesamifard, Ehsan. "Privacy Preserving Machine Learning as a Service". Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703277/.
Texto completoAltalabani, Osama. "An automatic machine-learning framework for testing service-oriented architecure". Thesis, Kingston University, 2014. http://eprints.kingston.ac.uk/32198/.
Texto completoMUSCI, MARIA ANGELA. "Service robotics and machine learning for close-range remote sensing". Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2903488.
Texto completoMAZZIA, VITTORIO. "Machine Learning Algorithms and their Embedded Implementation for Service Robotics Applications". Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2968456.
Texto completoAshfaq, Awais. "Predicting clinical outcomes via machine learning on electronic health records". Licentiate thesis, Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39309.
Texto completoDhekne, Rucha P. "Machine Learning Techniques to Provide Quality of Service in Cognitive Radio Technology". University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258579803.
Texto completoBlank, Clas y Tomas Hermansson. "A Machine Learning approach to churn prediction in a subscription-based service". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240397.
Texto completoIn today’s world subscription-based online services are becoming increasingly popular. One of the keys to success in a subscription-based business model is to minimize churn, i.e. customer canceling their subscriptions. Due to the digitalization of the world, data is easier to collect than ever before. At the same time machine learning is growing and is made more available. That opens up new possibilities to solve different problems with the use of machine learning. This paper will test and evaluate a machine learning approach to churn prediction, based on the user data from a company with an online subscription service letting the user attend live shows to a fixed price. To perform the tests different machine learning models were used, both individually and combined. The models were Random Forests, Support Vector Machines, Logistic Regression and Neural Networks. In order to train them a data set containing either active or churned users was provided. Eventually the models returned accuracy results ranging from 73.7 % to 76.7 % when classifying churners based on their activity data. Furthermore, the models turned out to have higher scores for precision and recall for classifying the churners than the non-churners. In addition, the features that had the most impact on the model regarding the classification were Tickets Used and Length of Subscription. Moreover, this paper will discuss how churn prediction can be used from a business perspective.
Hill, Jerry L. y Randall P. Mora. "An Autonomous Machine Learning Approach for Global Terrorist Recognition". International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581675.
Texto completoA major intelligence challenge we face in today's national security environment is the threat of terrorist attack against our national assets, especially our citizens. This paper addresses global reconnaissance which incorporates an autonomous Intelligent Agent/Data Fusion solution for recognizing potential risk of terrorist attack through identifying and reporting imminent persona-oriented terrorist threats based on data reduction/compression of a large volume of low latency data possibly from hundreds, or even thousands of data points.
Darborg, Alex. "Real-time face recognition using one-shot learning : A deep learning and machine learning project". Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-40069.
Texto completoTataru, Augustin. "Metrics for Evaluating Machine Learning Cloud Services". Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Datateknik och informatik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-37882.
Texto completoLibros sobre el tema "Machine Learning as a Service"
Ebers, Martin y Paloma Krõõt Tupay. Artificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19667-6.
Texto completoKumar, Sumit, Raj Setia y Kuldeep Singh, eds. Artificial Intelligence and Machine Learning in Satellite Data Processing and Services. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7698-8.
Texto completoZhou, Zhi-Hua. Machine Learning. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-1967-3.
Texto completoJung, Alexander. Machine Learning. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8193-6.
Texto completoMitchell, Tom M., Jaime G. Carbonell y Ryszard S. Michalski. Machine Learning. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2279-5.
Texto completoFernandes de Mello, Rodrigo y Moacir Antonelli Ponti. Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94989-5.
Texto completoBell, Jason. Machine Learning. Indianapolis, IN, USA: John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781119183464.
Texto completoHuang, Kaizhu, Haiqin Yang, Irwin King y Michael Lyu. Machine Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79452-3.
Texto completoJebara, Tony. Machine Learning. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9011-2.
Texto completoElger, Peter Peter y Eoin Eoin Shanaghy. AI As a Service: Serverless Machine Learning with AWS. Manning Publications Company, 2020.
Buscar texto completoCapítulos de libros sobre el tema "Machine Learning as a Service"
Basler, Daniel. "Machine Learning as a Service". En Neuronale Netze mit C# programmieren, 237–72. München: Carl Hanser Verlag GmbH & Co. KG, 2021. http://dx.doi.org/10.3139/9783446464261.009.
Texto completoObaid, Abdulrahman Mohammed Hussein, Santosh Kumar Pani y Prasant Kumar Pattnaik. "A Critical Analysis of Brokering Services (Scheduling as Service)". En Machine Learning and Information Processing, 425–37. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1884-3_39.
Texto completoOlivotti, Daniel, Jens Passlick, Alexander Axjonow, Dennis Eilers y Michael H. Breitner. "Combining Machine Learning and Domain Experience: A Hybrid-Learning Monitor Approach for Industrial Machines". En Exploring Service Science, 261–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00713-3_20.
Texto completoLeros, Apostolos P. y Antonios S. Andreatos. "Network Traffic Analytics for Internet Service Providers—Application in Early Prediction of DDoS Attacks". En Machine Learning Paradigms, 233–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94030-4_10.
Texto completoBaresi, Luciano y Giovanni Quattrocchi. "Training and Serving Machine Learning Models at Scale". En Service-Oriented Computing, 669–83. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20984-0_48.
Texto completoLi, Siqiao, Qingchen Wang y Ger Koole. "Predicting Call Center Performance with Machine Learning". En Advances in Service Science, 193–99. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04726-9_19.
Texto completoMesser, Uwe y Stefan Faußer. "Machine Learning Infusion in Service Processes". En Automatisierung und Personalisierung von Dienstleistungen, 343–64. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30168-2_14.
Texto completoIdé, Tsuyoshi. "Formalizing Expert Knowledge Through Machine Learning". En Global Perspectives on Service Science: Japan, 157–75. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3594-9_11.
Texto completoPrice, Ed, Adnan Masood y Gaurav Aroraa. "Azure Machine Learning". En Hands-on Azure Cognitive Services, 321–54. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7249-7_10.
Texto completoDanninger, Maria, Erica Robles, Leila Takayama, QianYing Wang, Tobias Kluge, Rainer Stiefelhagen y Clifford Nass. "The Connector Service-Predicting Availability in Mobile Contexts". En Machine Learning for Multimodal Interaction, 129–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11965152_12.
Texto completoActas de conferencias sobre el tema "Machine Learning as a Service"
Philipp, Robert, Andreas Mladenow, Christine Strauss y Alexander Völz. "Machine Learning as a Service". En iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3428757.3429152.
Texto completoLi Luo, Hangjiang Liu, Xiaolong Hou y Yingkang Shi. "Machine learning methods for surgery cancellation". En 2016 13th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2016. http://dx.doi.org/10.1109/icsssm.2016.7538652.
Texto completoWei Shi y Yan-Pingchen. "Web service selection and classification of service requesters". En 2013 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2013. http://dx.doi.org/10.1109/icmlc.2013.6890756.
Texto completoZhu, Chaochao. "How long will the Service Time in a Ride-Hailing Service?" En MLMI '20: 2020 The 3rd International Conference on Machine Learning and Machine Intelligence. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3426826.3426828.
Texto completoRibeiro, Mauro, Katarina Grolinger y Miriam A. M. Capretz. "MLaaS: Machine Learning as a Service". En 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2015. http://dx.doi.org/10.1109/icmla.2015.152.
Texto completoLiu, Wei, Zong-Tian Liu y Wei-Qin Tong. "Agent-Oriented Modeling for Grid Service". En 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370119.
Texto completoYelin Li, Junjie Wu y Hui Bu. "When quantitative trading meets machine learning: A pilot survey". En 2016 13th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2016. http://dx.doi.org/10.1109/icsssm.2016.7538632.
Texto completoMa, Shang-Pin, Jong-Yih Kuo, Yong-Yi Fanjiang, Chin-Pin Tung y Chun-Ying Huang. "Optimal service selection for composition based on weighted service flow and Genetic Algorithm". En 2010 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2010. http://dx.doi.org/10.1109/icmlc.2010.5580692.
Texto completoDong-Dai Zhou, Zhuo Zhang, Shao-Chun Zhong, Yi Yao y Hong-Mei Zhang. "The study of service oriented architecture of E-learning resources and personalized service model". En 2009 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2009. http://dx.doi.org/10.1109/icmlc.2009.5212810.
Texto completoSpreadsheets, Using, Chi-Yurl Yoon y Shin-Gak Kang. "A study on machine learning web service". En 2017 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2017. http://dx.doi.org/10.1109/ictc.2017.8190774.
Texto completoInformes sobre el tema "Machine Learning as a Service"
Duarte, Javier y et al. FPGAs as a Service to Accelerate Machine Learning Inference. Office of Scientific and Technical Information (OSTI), marzo de 2019. http://dx.doi.org/10.2172/1570210.
Texto completoDuarte, Javier y et al. Accelerated Machine Learning as a Service for Particle Physics Computing. Office of Scientific and Technical Information (OSTI), enero de 2019. http://dx.doi.org/10.2172/1592124.
Texto completoLohn, Andrew. Hacking AI: A Primer for Policymakers on Machine Learning Cybersecurity. Center for Security and Emerging Technology, diciembre de 2020. http://dx.doi.org/10.51593/2020ca006.
Texto completoCilliers, Jacobus, Eric Dunford y James Habyarimana. What Do Local Government Education Managers Do to Boost Learning Outcomes? Research on Improving Systems of Education (RISE), marzo de 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/064.
Texto completoVesselinov, Velimir Valentinov. Machine Learning. Office of Scientific and Technical Information (OSTI), enero de 2019. http://dx.doi.org/10.2172/1492563.
Texto completoValiant, L. G. Machine Learning. Fort Belvoir, VA: Defense Technical Information Center, enero de 1993. http://dx.doi.org/10.21236/ada283386.
Texto completoChase, Melissa P. Machine Learning. Fort Belvoir, VA: Defense Technical Information Center, abril de 1990. http://dx.doi.org/10.21236/ada223732.
Texto completoKagie, Matthew J. y Park Hays. FORTE Machine Learning. Office of Scientific and Technical Information (OSTI), agosto de 2016. http://dx.doi.org/10.2172/1561828.
Texto completoLin, Youzuo, Shihang Feng y Esteban Rougier. Machine Learning Tutorial. Office of Scientific and Technical Information (OSTI), julio de 2022. http://dx.doi.org/10.2172/1876777.
Texto completoCaplin, Andrew, Daniel Martin y Philip Marx. Modeling Machine Learning. Cambridge, MA: National Bureau of Economic Research, octubre de 2022. http://dx.doi.org/10.3386/w30600.
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