Статті в журналах з теми "Adaptive machine learning"
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Wilson, Craig, Yuheng Bu, and Venugopal V. Veeravalli. "Adaptive sequential machine learning." Sequential Analysis 38, no. 4 (October 2, 2019): 545–68. http://dx.doi.org/10.1080/07474946.2019.1686889.
Повний текст джерелаWang, Gai-Ge, Mei Lu, Yong-Quan Dong, and Xiang-Jun Zhao. "Self-adaptive extreme learning machine." Neural Computing and Applications 27, no. 2 (March 21, 2015): 291–303. http://dx.doi.org/10.1007/s00521-015-1874-3.
Повний текст джерелаShoureshi, R., D. Swedes, and R. Evans. "Learning Control for Autonomous Machines." Robotica 9, no. 2 (April 1991): 165–70. http://dx.doi.org/10.1017/s0263574700010201.
Повний текст джерелаMundhe, Shivani. "Image Segmentation using Adaptive Machine Learning." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 948–50. http://dx.doi.org/10.22214/ijraset.2021.34383.
Повний текст джерелаHie, Brian L., and Kevin K. Yang. "Adaptive machine learning for protein engineering." Current Opinion in Structural Biology 72 (February 2022): 145–52. http://dx.doi.org/10.1016/j.sbi.2021.11.002.
Повний текст джерелаMajumdar, Somshubra, Ishaan Jain, and Kunal Kukreja. "AdaSort: Adaptive Sorting using Machine Learning." International Journal of Computer Applications 145, no. 12 (July 15, 2016): 12–17. http://dx.doi.org/10.5120/ijca2016910726.
Повний текст джерелаStange, Renata Luiza, and Joao Jose. "Applying Adaptive Technology in Machine Learning." IEEE Latin America Transactions 12, no. 7 (October 2014): 1298–306. http://dx.doi.org/10.1109/tla.2014.6948866.
Повний текст джерелаCao, Jiuwen, Zhiping Lin, and Guang-Bin Huang. "Self-Adaptive Evolutionary Extreme Learning Machine." Neural Processing Letters 36, no. 3 (July 18, 2012): 285–305. http://dx.doi.org/10.1007/s11063-012-9236-y.
Повний текст джерелаHasan, Sajib. "Adaptive Fitts for Adaptive Interface." AIUB Journal of Science and Engineering (AJSE) 17, no. 2 (July 31, 2018): 51–58. http://dx.doi.org/10.53799/ajse.v17i2.9.
Повний текст джерелаChabaud, Ulysse, Damian Markham, and Adel Sohbi. "Quantum machine learning with adaptive linear optics." Quantum 5 (July 5, 2021): 496. http://dx.doi.org/10.22331/q-2021-07-05-496.
Повний текст джерелаZhang, Yuao, Qingbiao Wu, and Jueliang Hu. "An Adaptive Learning Algorithm for Regularized Extreme Learning Machine." IEEE Access 9 (2021): 20736–45. http://dx.doi.org/10.1109/access.2021.3054483.
Повний текст джерелаTimothy, Adeboje Olawale, Isiaka Abdulwab, Jimoh Ibraheem Temitope, and Joda Shade. "Reviews on Machine Learning based Adaptive Mobile Learning System." International Journal of Computer Applications 176, no. 38 (July 15, 2020): 1–6. http://dx.doi.org/10.5120/ijca2020920498.
Повний текст джерелаBalachandran, Prasanna V. "Adaptive machine learning for efficient materials design." MRS Bulletin 45, no. 7 (July 2020): 579–86. http://dx.doi.org/10.1557/mrs.2020.163.
Повний текст джерелаK, Dr Vijayakumar, Rahul M M, Dhamodara Prasath G, and Aravinth V. "Adaptive Air Quality Sensing using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 423–30. http://dx.doi.org/10.22214/ijraset.2022.42186.
Повний текст джерелаGheibi, Omid, Danny Weyns, and Federico Quin. "Applying Machine Learning in Self-adaptive Systems." ACM Transactions on Autonomous and Adaptive Systems 15, no. 3 (September 30, 2020): 1–37. http://dx.doi.org/10.1145/3469440.
Повний текст джерелаMa, Jun, and Chao Yuan. "Adaptive Safe Semi-Supervised Extreme Machine Learning." IEEE Access 7 (2019): 76176–84. http://dx.doi.org/10.1109/access.2019.2922385.
Повний текст джерелаHorowitz, Roberto. "Learning Control of Robot Manipulators." Journal of Dynamic Systems, Measurement, and Control 115, no. 2B (June 1, 1993): 402–11. http://dx.doi.org/10.1115/1.2899080.
Повний текст джерелаHalimovich, Yuldashev Abdusamat, and Ermatov Axror Baxtiyorjon Ogli. "Increasing Learning Efficiency Using Adaptive Testing Technology." American Journal of Engineering And Techonology 03, no. 02 (February 17, 2021): 31–41. http://dx.doi.org/10.37547/tajet/volume03issue02-05.
Повний текст джерелаHaque, Md Enamul, and Talal M. Alkharobi. "Adaptive Hybrid Model for Network Intrusion Detection and Comparison among Machine Learning Algorithms." International Journal of Machine Learning and Computing 5, no. 1 (February 2015): 17–23. http://dx.doi.org/10.7763/ijmlc.2015.v5.476.
Повний текст джерелаGolden, Richard M. "Adaptive Learning Algorithm Convergence in Passive and Reactive Environments." Neural Computation 30, no. 10 (October 2018): 2805–32. http://dx.doi.org/10.1162/neco_a_01117.
Повний текст джерелаGhana, Satyajit, Shikhar Singh, Aryan Jalali, Vivek Badani, and Sahana P. Shankar. "Adaptive Visual Learning Using Augmented Reality and Machine Learning Techniques." Journal of Computational and Theoretical Nanoscience 17, no. 11 (November 1, 2020): 4952–56. http://dx.doi.org/10.1166/jctn.2020.8982.
Повний текст джерелаRodríguez-Gracia, Diego, José A. Piedra-Fernández, Luis Iribarne, Javier Criado, Rosa Ayala, Joaquín Alonso-Montesinos, and Capobianco-Uriarte Maria de las Mercedes. "Microservices and Machine Learning Algorithms for Adaptive Green Buildings." Sustainability 11, no. 16 (August 9, 2019): 4320. http://dx.doi.org/10.3390/su11164320.
Повний текст джерелаMannaru, Pujitha, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, and Joseph Coyne. "Cognitive Context Detection for Adaptive Automation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 223–27. http://dx.doi.org/10.1177/1541931213601050.
Повний текст джерелаCsaji, B. C., and L. Monostori. "Adaptive Stochastic Resource Control: A Machine Learning Approach." Journal of Artificial Intelligence Research 32 (June 25, 2008): 453–86. http://dx.doi.org/10.1613/jair.2548.
Повний текст джерелаDonné, Simon, Jonas De Vylder, Bart Goossens, and Wilfried Philips. "MATE: Machine Learning for Adaptive Calibration Template Detection." Sensors 16, no. 11 (November 4, 2016): 1858. http://dx.doi.org/10.3390/s16111858.
Повний текст джерелаPark, Jingyeong, Daisuke Kodaira, Kofi Afrifa Agyeman, Taeyoung Jyung, and Sekyung Han. "Adaptive Power Flow Prediction Based on Machine Learning." Energies 14, no. 13 (June 25, 2021): 3842. http://dx.doi.org/10.3390/en14133842.
Повний текст джерелаKershaw, Joseph, Rui Yu, YuMing Zhang, and Peng Wang. "Hybrid machine learning-enabled adaptive welding speed control." Journal of Manufacturing Processes 71 (November 2021): 374–83. http://dx.doi.org/10.1016/j.jmapro.2021.09.023.
Повний текст джерелаPridhiviraj, Paidipeddi, Tomar Dheerendra S, and P. Muralidhar. "Adaptive Post-silicon Server Validation using Machine Learning." International Journal of Applied Information Systems 9, no. 1 (June 6, 2015): 24–32. http://dx.doi.org/10.5120/ijais15-451358.
Повний текст джерелаLin, Hengwei, Kai Sun, Zheng-Hua Tan, Chengxi Liu, Josep M. Guerrero, and Juan C. Vasquez. "Adaptive protection combined with machine learning for microgrids." IET Generation, Transmission & Distribution 13, no. 6 (March 26, 2019): 770–79. http://dx.doi.org/10.1049/iet-gtd.2018.6230.
Повний текст джерелаYang, Ping, Yue Xiao, Ming Xiao, Yong Liang Guan, Shaoqian Li, and Wei Xiang. "Adaptive Spatial Modulation MIMO Based on Machine Learning." IEEE Journal on Selected Areas in Communications 37, no. 9 (September 2019): 2117–31. http://dx.doi.org/10.1109/jsac.2019.2929404.
Повний текст джерелаAnagnostopoulos, Theodoros, Christos Anagnostopoulos, and Stathes Hadjiefthymiades. "An Adaptive Machine Learning Algorithm for Location Prediction." International Journal of Wireless Information Networks 18, no. 2 (April 23, 2011): 88–99. http://dx.doi.org/10.1007/s10776-011-0142-4.
Повний текст джерелаRajput, Savita, Apurva Ware, Karan Umredkar, and Prof Jaya Jeshwani. "Digital Watermarking Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 2081–85. http://dx.doi.org/10.22214/ijraset.2022.40991.
Повний текст джерелаRajput, Savita, Apurva Ware, Karan Umredkar, and Prof Jaya Jeshwani. "Digital Watermarking Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 2081–85. http://dx.doi.org/10.22214/ijraset.2022.40991.
Повний текст джерелаSpagnolo, Nicolò, Alessandro Lumino, Emanuele Polino, Adil S. Rab, Nathan Wiebe, and Fabio Sciarrino. "Machine Learning for Quantum Metrology." Proceedings 12, no. 1 (August 23, 2019): 28. http://dx.doi.org/10.3390/proceedings2019012028.
Повний текст джерелаLee, Juhee, and Bongsoon Kang. "Improving Performance of Machine Learning-based Algorithms with Adaptive Learning Rate." Journal of Korean Institute of Information Technology 18, no. 10 (October 31, 2020): 9–14. http://dx.doi.org/10.14801/jkiit.2020.18.10.9.
Повний текст джерелаADNAN, Muhammad, Asad HABIB, Jawad ASHRAF, and Shafaq MUSSADIQ. "Cloud-supported machine learning system for context-aware adaptive M-learning." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 27, no. 4 (July 26, 2019): 2798–816. http://dx.doi.org/10.3906/elk-1811-196.
Повний текст джерелаSettles, Burr, Geoffrey T. LaFlair, and Masato Hagiwara. "Machine Learning–Driven Language Assessment." Transactions of the Association for Computational Linguistics 8 (July 2020): 247–63. http://dx.doi.org/10.1162/tacl_a_00310.
Повний текст джерелаNguyen, Tran-Hieu, and Anh-Tuan Vu. "Evaluating structural safety of trusses using Machine Learning." Frattura ed Integrità Strutturale 15, no. 58 (September 25, 2021): 308–18. http://dx.doi.org/10.3221/igf-esis.58.23.
Повний текст джерелаPertseva, Margarita, Beichen Gao, Daniel Neumeier, Alexander Yermanos, and Sai T. Reddy. "Applications of Machine and Deep Learning in Adaptive Immunity." Annual Review of Chemical and Biomolecular Engineering 12, no. 1 (June 7, 2021): 39–62. http://dx.doi.org/10.1146/annurev-chembioeng-101420-125021.
Повний текст джерелаZhang, Tong, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, and Wen Zhao. "Frequency-Aware Contrastive Learning for Neural Machine Translation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 11712–20. http://dx.doi.org/10.1609/aaai.v36i10.21426.
Повний текст джерелаGolz, Martin, Sebastian Thomas, and Adolf Schenka. "EEG-Based Classification of the Driver Alertness State." Current Directions in Biomedical Engineering 6, no. 3 (September 1, 2020): 353–56. http://dx.doi.org/10.1515/cdbme-2020-3091.
Повний текст джерелаManuaba, IBG, Muhammad Abdillah, Ramon Zamora, and Herlambang Setiadi. "Adaptive Power System Stabilizer Using Kernel Extreme Learning Machine." International Journal of Intelligent Engineering and Systems 14, no. 3 (June 30, 2021): 468–80. http://dx.doi.org/10.22266/ijies2021.0630.39.
Повний текст джерелаMogyorosi, Ferenc, Alija Pasic, Richard Cziva, Peter Revisnyei, Zsolt Kenesi, and Janos Tapolcai. "Adaptive Protection of Scientific Backbone Networks Using Machine Learning." IEEE Transactions on Network and Service Management 18, no. 1 (March 2021): 1064–76. http://dx.doi.org/10.1109/tnsm.2021.3050964.
Повний текст джерелаFrye, M., D. Gyulai, J. Bergmann, and R. H. Schmitt. "ADAPTIVE SCHEDULING THROUGH MACHINE LEARNING-BASED PROCESS PARAMETER PREDICTION." MM Science Journal 2019, no. 04 (November 13, 2019): 3060–66. http://dx.doi.org/10.17973/mmsj.2019_11_2019051.
Повний текст джерелаDamdoo, Rina. "Adaptive Hand Gesture Recognition System Using Machine Learning Approach." Bioscience Biotechnology Research Communications 13, no. 14 (December 25, 2020): 106–10. http://dx.doi.org/10.21786/bbrc/13.14/26.
Повний текст джерелаYao, Zhewei, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, and Michael Mahoney. "ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (May 18, 2021): 10665–73. http://dx.doi.org/10.1609/aaai.v35i12.17275.
Повний текст джерелаLiu, Qidi, Benjamin Gily, and Mable P. Fok. "Adaptive Photonic Microwave Instantaneous Frequency Estimation Using Machine Learning." IEEE Photonics Technology Letters 33, no. 24 (December 15, 2021): 1511–14. http://dx.doi.org/10.1109/lpt.2021.3128867.
Повний текст джерелаHu, Rongyao, Leyuan Zhang, and Jian Wei. "Adaptive Laplacian Support Vector Machine for Semi-supervised Learning." Computer Journal 64, no. 7 (April 30, 2021): 1005–15. http://dx.doi.org/10.1093/comjnl/bxab024.
Повний текст джерелаWu, Zi-Nan, Xiao-Lei Han, An He, Yan-Fei Cai, and Jing Ji. "Machine learning-based adaptive degradation model for RC beams." Engineering Structures 253 (February 2022): 113817. http://dx.doi.org/10.1016/j.engstruct.2021.113817.
Повний текст джерелаRuiz, P. M., J. A. Botia, and A. Gomez-Skarmeta. "Providing QoS Through Machine-Learning-Driven Adaptive Multimedia Applications." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, no. 3 (June 2004): 1398–411. http://dx.doi.org/10.1109/tsmcb.2004.825912.
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