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Статті в журналах з теми "Machine Learning as a Service"
Joseph Poulose, Travis, and S. Ganesh Kumar. "Service identification using k-NN machine learning." International Journal of Engineering & Technology 7, no. 2.4 (March 10, 2018): 182. http://dx.doi.org/10.14419/ijet.v7i2.4.13035.
Повний текст джерелаWANG, Xinyue, Nobutada FUJII, Toshiya KAIHARA, and Daisuke KOKURYO. "SERVICE DESIGN WITH MACHINE LEARNING BASED ON USER ACTION HISTORY." Acta Electrotechnica et Informatica 20, no. 2 (June 30, 2020): 11–18. http://dx.doi.org/10.15546/aeei-2020-0008.
Повний текст джерелаBhoite, Sayee N., Vaishnavi D. Gadekar, Shashank V. Kapadnis, and Priyanka R. Ghuge. "Churn Prediction using Machine Learning Models." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 2233–36. http://dx.doi.org/10.22214/ijraset.2023.52101.
Повний текст джерелаTočelovskis, Andrejs, and Artis Teilāns. "MACHINE LEARNING SERVICE FOR STUDENT REGISTRATION." HUMAN. ENVIRONMENT. TECHNOLOGIES. Proceedings of the Students International Scientific and Practical Conference, no. 24 (April 22, 2020): 103–9. http://dx.doi.org/10.17770/het2020.24.6759.
Повний текст джерелаZuev, Dmitry, Alexey Kalistratov, and 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.
Повний текст джерелаZimal, Sudarshan, Chirag Shah, Shivam Borhude, Amit Birajdar, and Prof Shreedhar Patil. "Customer Churn Prediction Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (February 28, 2023): 872–83. http://dx.doi.org/10.22214/ijraset.2023.49142.
Повний текст джерелаYin, Hexiao. "Role of Artificial Intelligence Machine Learning in Deepening the Internet Plus Social Work Service." Mathematical Problems in Engineering 2021 (November 6, 2021): 1–10. http://dx.doi.org/10.1155/2021/6915568.
Повний текст джерелаKumaran, N., Purandhar Sri Sai, and Lokesh Manikanta. "Web Phishing Detection using Machine Learning." International Journal of Innovative Technology and Exploring Engineering 11, no. 4 (March 30, 2022): 56–59. http://dx.doi.org/10.35940/ijitee.c9804.0311422.
Повний текст джерелаLiu, Ningbo. "An Empirical Study on Machine Learning for Enterprise Cloud Computing Service Management." Asian Journal of Economics, Business and Accounting 23, no. 9 (March 28, 2023): 48–57. http://dx.doi.org/10.9734/ajeba/2023/v23i9963.
Повний текст джерелаHan, Bo, and Rongli Zhang. "Virtual Machine Allocation Strategy Based on Statistical Machine Learning." Mathematical Problems in Engineering 2022 (July 5, 2022): 1–6. http://dx.doi.org/10.1155/2022/8190296.
Повний текст джерелаДисертації з теми "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/.
Повний текст джерелаAltalabani, Osama. "An automatic machine-learning framework for testing service-oriented architecure." Thesis, Kingston University, 2014. http://eprints.kingston.ac.uk/32198/.
Повний текст джерелаMUSCI, MARIA ANGELA. "Service robotics and machine learning for close-range remote sensing." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2903488.
Повний текст джерелаMAZZIA, VITTORIO. "Machine Learning Algorithms and their Embedded Implementation for Service Robotics Applications." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2968456.
Повний текст джерелаAshfaq, 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.
Повний текст джерелаDhekne, 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.
Повний текст джерелаBlank, Clas, and 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.
Повний текст джерелаIn 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., and Randall P. Mora. "An Autonomous Machine Learning Approach for Global Terrorist Recognition." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581675.
Повний текст джерелаA 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.
Повний текст джерелаTataru, 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.
Повний текст джерелаКниги з теми "Machine Learning as a Service"
Ebers, Martin, and 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.
Повний текст джерелаKumar, Sumit, Raj Setia, and 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.
Повний текст джерелаZhou, Zhi-Hua. Machine Learning. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-1967-3.
Повний текст джерелаJung, Alexander. Machine Learning. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8193-6.
Повний текст джерелаMitchell, Tom M., Jaime G. Carbonell, and Ryszard S. Michalski. Machine Learning. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2279-5.
Повний текст джерелаFernandes de Mello, Rodrigo, and Moacir Antonelli Ponti. Machine Learning. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94989-5.
Повний текст джерелаBell, Jason. Machine Learning. Indianapolis, IN, USA: John Wiley & Sons, Inc, 2014. http://dx.doi.org/10.1002/9781119183464.
Повний текст джерелаHuang, Kaizhu, Haiqin Yang, Irwin King, and Michael Lyu. Machine Learning. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79452-3.
Повний текст джерелаJebara, Tony. Machine Learning. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4419-9011-2.
Повний текст джерелаElger, Peter Peter, and Eoin Eoin Shanaghy. AI As a Service: Serverless Machine Learning with AWS. Manning Publications Company, 2020.
Знайти повний текст джерелаЧастини книг з теми "Machine Learning as a Service"
Basler, Daniel. "Machine Learning as a Service." In Neuronale Netze mit C# programmieren, 237–72. München: Carl Hanser Verlag GmbH & Co. KG, 2021. http://dx.doi.org/10.3139/9783446464261.009.
Повний текст джерелаObaid, Abdulrahman Mohammed Hussein, Santosh Kumar Pani, and Prasant Kumar Pattnaik. "A Critical Analysis of Brokering Services (Scheduling as Service)." In Machine Learning and Information Processing, 425–37. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1884-3_39.
Повний текст джерелаOlivotti, Daniel, Jens Passlick, Alexander Axjonow, Dennis Eilers, and Michael H. Breitner. "Combining Machine Learning and Domain Experience: A Hybrid-Learning Monitor Approach for Industrial Machines." In Exploring Service Science, 261–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00713-3_20.
Повний текст джерелаLeros, Apostolos P., and Antonios S. Andreatos. "Network Traffic Analytics for Internet Service Providers—Application in Early Prediction of DDoS Attacks." In Machine Learning Paradigms, 233–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94030-4_10.
Повний текст джерелаBaresi, Luciano, and Giovanni Quattrocchi. "Training and Serving Machine Learning Models at Scale." In Service-Oriented Computing, 669–83. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20984-0_48.
Повний текст джерелаLi, Siqiao, Qingchen Wang, and Ger Koole. "Predicting Call Center Performance with Machine Learning." In Advances in Service Science, 193–99. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04726-9_19.
Повний текст джерелаMesser, Uwe, and Stefan Faußer. "Machine Learning Infusion in Service Processes." In Automatisierung und Personalisierung von Dienstleistungen, 343–64. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30168-2_14.
Повний текст джерелаIdé, Tsuyoshi. "Formalizing Expert Knowledge Through Machine Learning." In 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.
Повний текст джерелаPrice, Ed, Adnan Masood, and Gaurav Aroraa. "Azure Machine Learning." In Hands-on Azure Cognitive Services, 321–54. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7249-7_10.
Повний текст джерелаDanninger, Maria, Erica Robles, Leila Takayama, QianYing Wang, Tobias Kluge, Rainer Stiefelhagen, and Clifford Nass. "The Connector Service-Predicting Availability in Mobile Contexts." In Machine Learning for Multimodal Interaction, 129–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11965152_12.
Повний текст джерелаТези доповідей конференцій з теми "Machine Learning as a Service"
Philipp, Robert, Andreas Mladenow, Christine Strauss, and Alexander Völz. "Machine Learning as a Service." In 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.
Повний текст джерелаLi Luo, Hangjiang Liu, Xiaolong Hou, and Yingkang Shi. "Machine learning methods for surgery cancellation." In 2016 13th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2016. http://dx.doi.org/10.1109/icsssm.2016.7538652.
Повний текст джерелаWei Shi and Yan-Pingchen. "Web service selection and classification of service requesters." In 2013 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2013. http://dx.doi.org/10.1109/icmlc.2013.6890756.
Повний текст джерелаZhu, Chaochao. "How long will the Service Time in a Ride-Hailing Service?" In 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.
Повний текст джерелаRibeiro, Mauro, Katarina Grolinger, and Miriam A. M. Capretz. "MLaaS: Machine Learning as a Service." In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). IEEE, 2015. http://dx.doi.org/10.1109/icmla.2015.152.
Повний текст джерелаLiu, Wei, Zong-Tian Liu, and Wei-Qin Tong. "Agent-Oriented Modeling for Grid Service." In 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370119.
Повний текст джерелаYelin Li, Junjie Wu, and Hui Bu. "When quantitative trading meets machine learning: A pilot survey." In 2016 13th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2016. http://dx.doi.org/10.1109/icsssm.2016.7538632.
Повний текст джерелаMa, Shang-Pin, Jong-Yih Kuo, Yong-Yi Fanjiang, Chin-Pin Tung, and Chun-Ying Huang. "Optimal service selection for composition based on weighted service flow and Genetic Algorithm." In 2010 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2010. http://dx.doi.org/10.1109/icmlc.2010.5580692.
Повний текст джерелаDong-Dai Zhou, Zhuo Zhang, Shao-Chun Zhong, Yi Yao, and Hong-Mei Zhang. "The study of service oriented architecture of E-learning resources and personalized service model." In 2009 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2009. http://dx.doi.org/10.1109/icmlc.2009.5212810.
Повний текст джерелаSpreadsheets, Using, Chi-Yurl Yoon, and Shin-Gak Kang. "A study on machine learning web service." In 2017 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2017. http://dx.doi.org/10.1109/ictc.2017.8190774.
Повний текст джерелаЗвіти організацій з теми "Machine Learning as a Service"
Duarte, Javier, and et al. FPGAs as a Service to Accelerate Machine Learning Inference. Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1570210.
Повний текст джерелаDuarte, Javier, and et al. Accelerated Machine Learning as a Service for Particle Physics Computing. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1592124.
Повний текст джерелаLohn, Andrew. Hacking AI: A Primer for Policymakers on Machine Learning Cybersecurity. Center for Security and Emerging Technology, December 2020. http://dx.doi.org/10.51593/2020ca006.
Повний текст джерелаCilliers, Jacobus, Eric Dunford, and James Habyarimana. What Do Local Government Education Managers Do to Boost Learning Outcomes? Research on Improving Systems of Education (RISE), March 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/064.
Повний текст джерелаVesselinov, Velimir Valentinov. Machine Learning. Office of Scientific and Technical Information (OSTI), January 2019. http://dx.doi.org/10.2172/1492563.
Повний текст джерелаValiant, L. G. Machine Learning. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada283386.
Повний текст джерелаChase, Melissa P. Machine Learning. Fort Belvoir, VA: Defense Technical Information Center, April 1990. http://dx.doi.org/10.21236/ada223732.
Повний текст джерелаKagie, Matthew J., and Park Hays. FORTE Machine Learning. Office of Scientific and Technical Information (OSTI), August 2016. http://dx.doi.org/10.2172/1561828.
Повний текст джерелаLin, Youzuo, Shihang Feng, and Esteban Rougier. Machine Learning Tutorial. Office of Scientific and Technical Information (OSTI), July 2022. http://dx.doi.org/10.2172/1876777.
Повний текст джерелаCaplin, Andrew, Daniel Martin, and Philip Marx. Modeling Machine Learning. Cambridge, MA: National Bureau of Economic Research, October 2022. http://dx.doi.org/10.3386/w30600.
Повний текст джерела