Статті в журналах з теми "Multi-view machine learning"
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WANG, ZHE, MINGZHE LU, ZENGXIN NIU, XIANGYANG XUE, and DAQI GAO. "COST-SENSITIVE MULTI-VIEW LEARNING MACHINE." International Journal of Pattern Recognition and Artificial Intelligence 28, no. 03 (May 2014): 1451004. http://dx.doi.org/10.1142/s0218001414510045.
Повний текст джерелаWang, Qiang, Yong Dou, Xinwang Liu, Qi Lv, and Shijie Li. "Multi-view clustering with extreme learning machine." Neurocomputing 214 (November 2016): 483–94. http://dx.doi.org/10.1016/j.neucom.2016.06.035.
Повний текст джерелаSun, Shiliang. "A survey of multi-view machine learning." Neural Computing and Applications 23, no. 7-8 (February 17, 2013): 2031–38. http://dx.doi.org/10.1007/s00521-013-1362-6.
Повний текст джерелаKaraaba, Mahir Faik, Lambert Schomaker, and Marco Wiering. "Machine learning for multi-view eye-pair detection." Engineering Applications of Artificial Intelligence 33 (August 2014): 69–79. http://dx.doi.org/10.1016/j.engappai.2014.04.008.
Повний текст джерелаZhang, Yongshan, Jia Wu, Chuan Zhou, Zhihua Cai, Jian Yang, and Philip S. Yu. "Multi-View Fusion with Extreme Learning Machine for Clustering." ACM Transactions on Intelligent Systems and Technology 10, no. 5 (November 14, 2019): 1–23. http://dx.doi.org/10.1145/3340268.
Повний текст джерелаTang, Jingjing, Dewei Li, Yingjie Tian, and Dalian Liu. "Multi-view learning based on nonparallel support vector machine." Knowledge-Based Systems 158 (October 2018): 94–108. http://dx.doi.org/10.1016/j.knosys.2018.05.036.
Повний текст джерелаZhu, Changming, Chao Chen, Rigui Zhou, Lai Wei, and Xiafen Zhang. "A new multi-view learning machine with incomplete data." Pattern Analysis and Applications 23, no. 3 (February 11, 2020): 1085–116. http://dx.doi.org/10.1007/s10044-020-00863-y.
Повний текст джерелаWan, Zhibin, Changqing Zhang, Pengfei Zhu, and Qinghua Hu. "Multi-View Information-Bottleneck Representation Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 11 (May 18, 2021): 10085–92. http://dx.doi.org/10.1609/aaai.v35i11.17210.
Повний текст джерела姚, 瑞. "Semi-Supervised Learning Machine Based on Multi-View Twin Support Vector Machine." Operations Research and Fuzziology 09, no. 02 (2019): 177–88. http://dx.doi.org/10.12677/orf.2019.92021.
Повний текст джерелаLi, Yanchao, Yongli Wang, Junlong Zhou, and Xiaohui Jiang. "Robust Transductive Support Vector Machine for Multi-View Classification." Journal of Circuits, Systems and Computers 27, no. 12 (June 22, 2018): 1850185. http://dx.doi.org/10.1142/s0218126618501852.
Повний текст джерелаWang, Zhe, Jin Xu, Songcan Chen, and Daqi Gao. "Regularized multi-view learning machine based on response surface technique." Neurocomputing 97 (November 2012): 201–13. http://dx.doi.org/10.1016/j.neucom.2012.05.027.
Повний текст джерелаZhu, Changming, Duoqian Miao, Rigui Zhou, and Lai Wei. "Weight-and-Universum-based semi-supervised multi-view learning machine." Soft Computing 24, no. 14 (December 3, 2019): 10657–79. http://dx.doi.org/10.1007/s00500-019-04572-5.
Повний текст джерелаGao, Jingyue, Xiting Wang, Yasha Wang, and Xing Xie. "Explainable Recommendation through Attentive Multi-View Learning." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3622–29. http://dx.doi.org/10.1609/aaai.v33i01.33013622.
Повний текст джерелаWang, Huiru, and Zhijian Zhou. "Multi-view learning based on maximum margin of twin spheres support vector machine." Journal of Intelligent & Fuzzy Systems 40, no. 6 (June 21, 2021): 11273–86. http://dx.doi.org/10.3233/jifs-202427.
Повний текст джерелаWang, Qiang, Yong Dou, Xinwang Liu, Fei Xia, Qi Lv, and Ke Yang. "Local kernel alignment based multi-view clustering using extreme learning machine." Neurocomputing 275 (January 2018): 1099–111. http://dx.doi.org/10.1016/j.neucom.2017.09.060.
Повний текст джерелаIosifidis, Alexandros, Anastasios Tefas, and Ioannis Pitas. "Regularized extreme learning machine for multi-view semi-supervised action recognition." Neurocomputing 145 (December 2014): 250–62. http://dx.doi.org/10.1016/j.neucom.2014.05.036.
Повний текст джерелаIosifidis, Alexandros, Anastasios Tefas, and Ioannis Pitas. "Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine." International Journal on Artificial Intelligence Tools 24, no. 05 (October 2015): 1540020. http://dx.doi.org/10.1142/s0218213015400205.
Повний текст джерелаDing, Yulian, Xiujuan Lei, Bo Liao, and Fang-Xiang Wu. "Machine learning approaches for predicting biomolecule–disease associations." Briefings in Functional Genomics 20, no. 4 (February 8, 2021): 273–87. http://dx.doi.org/10.1093/bfgp/elab002.
Повний текст джерелаKhan, Muhammad Raza, and Joshua E. Blumenstock. "Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 606–13. http://dx.doi.org/10.1609/aaai.v33i01.3301606.
Повний текст джерелаZhang, Zhi Cong, Kai Shun Hu, Hui Yu Huang, Shuai Li, and Shao Yong Zhao. "A Multi-Step Reinforcement Learning Algorithm." Applied Mechanics and Materials 44-47 (December 2010): 3611–15. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3611.
Повний текст джерелаLiu, Bo, Haowen Zhong, and Yanshan Xiao. "New Multi-View Classification Method with Uncertain Data." ACM Transactions on Knowledge Discovery from Data 16, no. 1 (July 3, 2021): 1–23. http://dx.doi.org/10.1145/3458282.
Повний текст джерелаZhang, Yan, Danjv Lv, and Yili Zhao. "Multiple-View Active Learning for Environmental Sound Classification." International Journal of Online Engineering (iJOE) 12, no. 12 (December 25, 2016): 49. http://dx.doi.org/10.3991/ijoe.v12i12.6458.
Повний текст джерелаZhu, Jinlong, Xiujian Hu, Chao Zhang, and Guanglei Sheng. "Multi-View Modeling Method for Functional MRI Images." Journal of Medical Imaging and Health Informatics 11, no. 2 (February 1, 2021): 432–36. http://dx.doi.org/10.1166/jmihi.2021.3300.
Повний текст джерелаHuang, Yanquan, Haoliang Yuan, and Loi Lei Lai. "Latent multi-view semi-supervised classification by using graph learning." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 05 (June 20, 2020): 2050039. http://dx.doi.org/10.1142/s0219691320500393.
Повний текст джерелаYu, Miao. "Regularized K-means Clustering for Multi-View Data." Journal of Physics: Conference Series 2381, no. 1 (December 1, 2022): 012036. http://dx.doi.org/10.1088/1742-6596/2381/1/012036.
Повний текст джерелаXu, Jiacan, Hao Zheng, Jianhui Wang, Donglin Li, and Xiaoke Fang. "Recognition of EEG Signal Motor Imagery Intention Based on Deep Multi-View Feature Learning." Sensors 20, no. 12 (June 20, 2020): 3496. http://dx.doi.org/10.3390/s20123496.
Повний текст джерелаKoutris, Aristotelis, Theodoros Siozos, Yannis Kopsinis, Aggelos Pikrakis, Timon Merk, Matthias Mahlig, Stylianos Papaharalabos, and Peter Karlsson. "Deep Learning-Based Indoor Localization Using Multi-View BLE Signal." Sensors 22, no. 7 (April 2, 2022): 2759. http://dx.doi.org/10.3390/s22072759.
Повний текст джерелаHu, Menglei, and Songcan Chen. "One-Pass Incomplete Multi-View Clustering." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 3838–45. http://dx.doi.org/10.1609/aaai.v33i01.33013838.
Повний текст джерелаZhang, Yu, and Qiang Yang. "An overview of multi-task learning." National Science Review 5, no. 1 (September 1, 2017): 30–43. http://dx.doi.org/10.1093/nsr/nwx105.
Повний текст джерелаDuan, Yiqiang, Haoliang Yuan, Chun Sing Lai, and Loi Lei Lai. "Fusing Local and Global Information for One-Step Multi-View Subspace Clustering." Applied Sciences 12, no. 10 (May 18, 2022): 5094. http://dx.doi.org/10.3390/app12105094.
Повний текст джерелаGeng, Wanxuan, Weixun Zhou, and Shuanggen Jin. "Multi-View Urban Scene Classification with a Complementary-Information Learning Model." Photogrammetric Engineering & Remote Sensing 88, no. 1 (January 1, 2022): 65–72. http://dx.doi.org/10.14358/pers.21-00062r2.
Повний текст джерелаWei, Bin, and Christopher Pal. "Heterogeneous Transfer Learning with RBMs." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (August 4, 2011): 531–36. http://dx.doi.org/10.1609/aaai.v25i1.7925.
Повний текст джерелаCao, R., W. Tu, J. Cai, T. Zhao, J. Xiao, J. Cao, Q. Gao, and H. Su. "MACHINE LEARNING-BASED ECONOMIC DEVELOPMENT MAPPING FROM MULTI-SOURCE OPEN GEOSPATIAL DATA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2022 (May 18, 2022): 259–66. http://dx.doi.org/10.5194/isprs-annals-v-4-2022-259-2022.
Повний текст джерелаMisbah, Anass, and Ahmed Ettalbi. "Towards Machine Learning Models as a Key Mean to Train and Optimize Multi-view Web Services Proxy Security Layer." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 6, no. 4 (December 19, 2018): 65. http://dx.doi.org/10.3991/ijes.v6i4.9883.
Повний текст джерелаSeeland, Marco, and Patrick Mäder. "Multi-view classification with convolutional neural networks." PLOS ONE 16, no. 1 (January 12, 2021): e0245230. http://dx.doi.org/10.1371/journal.pone.0245230.
Повний текст джерелаCharoenkwan, Phasit, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio’, and Watshara Shoombuatong. "iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features." International Journal of Molecular Sciences 22, no. 16 (August 19, 2021): 8958. http://dx.doi.org/10.3390/ijms22168958.
Повний текст джерелаZhu, Linli, Gang Hua, and Adnan Aslam. "Ontology learning algorithm using weak functions." Open Physics 16, no. 1 (December 31, 2018): 910–16. http://dx.doi.org/10.1515/phys-2018-0112.
Повний текст джерелаGonçalves, Carlos Adriano, Adrián Seara Vieira, Célia Talma Gonçalves, Rui Camacho, Eva Lorenzo Iglesias, and Lourdes Borrajo Diz. "A Novel Multi-View Ensemble Learning Architecture to Improve the Structured Text Classification." Information 13, no. 6 (June 1, 2022): 283. http://dx.doi.org/10.3390/info13060283.
Повний текст джерелаYou, Cong-Zhe, Zhen-Qiu Shu, and Hong-Hui Fan. "Non-negative sparse Laplacian regularized latent multi-view subspace clustering." Journal of Algorithms & Computational Technology 15 (January 2021): 174830262110249. http://dx.doi.org/10.1177/17483026211024904.
Повний текст джерелаKyono, Trent, Fiona J. Gilbert, and Mihaela Van Der Schaar. "Triage of 2D Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks." ACM Transactions on Computing for Healthcare 2, no. 3 (July 2021): 1–24. http://dx.doi.org/10.1145/3453166.
Повний текст джерелаLee, Seung Jun, Byeong Hak Kim, and Min Young Kim. "Multi-Saliency Map and Machine Learning Based Human Detection for the Embedded Top-View Imaging System." IEEE Access 9 (2021): 70671–82. http://dx.doi.org/10.1109/access.2021.3078623.
Повний текст джерелаSzűcs, Gábor, and Marcell Németh. "Double-View Matching Network for Few-Shot Learning to Classify Covid-19 in X-ray images." Infocommunications journal 13, no. 1 (2021): 26–34. http://dx.doi.org/10.36244/icj.2021.1.4.
Повний текст джерелаHe, Pengfei, Yingjie Zhu, Bo Chen, Yanning Lu, Yongling Yao, Jie Xiao, and Jiasheng Si. "Condenser Vacuum Degree Prediction Model with Multi-View Information Fusion." Journal of Physics: Conference Series 2294, no. 1 (June 1, 2022): 012032. http://dx.doi.org/10.1088/1742-6596/2294/1/012032.
Повний текст джерелаKiranoglu, Volkan, Derya Birant, and Goksu Tuysuzoglu. "Multi-view multi-depth soil temperature prediction (MV-MD-STP): a new approach using machine learning and time series methods." International Journal of Intelligent Engineering Informatics 10, no. 1 (2022): 74. http://dx.doi.org/10.1504/ijiei.2022.10048525.
Повний текст джерелаIatrou, Miltiadis, Christos Karydas, George Iatrou, Ioannis Pitsiorlas, Vassilis Aschonitis, Iason Raptis, Stelios Mpetas, Kostas Kravvas, and Spiros Mourelatos. "Topdressing Nitrogen Demand Prediction in Rice Crop Using Machine Learning Systems." Agriculture 11, no. 4 (April 2, 2021): 312. http://dx.doi.org/10.3390/agriculture11040312.
Повний текст джерелаImangaliyev, Sultan, Jörg Schlötterer, Folker Meyer, and Christin Seifert. "Diagnosis of Inflammatory Bowel Disease and Colorectal Cancer through Multi-View Stacked Generalization Applied on Gut Microbiome Data." Diagnostics 12, no. 10 (October 17, 2022): 2514. http://dx.doi.org/10.3390/diagnostics12102514.
Повний текст джерелаXie, Hui, Li Wei, Dong Liu, and Luda Wang. "Task Scheduling in Heterogeneous Computing Systems Based on Machine Learning Approach." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 12 (May 11, 2020): 2051012. http://dx.doi.org/10.1142/s021800142051012x.
Повний текст джерелаRao, Bing, Chen Zhou, Guoying Zhang, Ran Su, and Leyi Wei. "ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides." Briefings in Bioinformatics 21, no. 5 (November 12, 2019): 1846–55. http://dx.doi.org/10.1093/bib/bbz088.
Повний текст джерелаDi, Wei, and Melba M. Crawford. "Active Learning via Multi-View and Local Proximity Co-Regularization for Hyperspectral Image Classification." IEEE Journal of Selected Topics in Signal Processing 5, no. 3 (June 2011): 618–28. http://dx.doi.org/10.1109/jstsp.2011.2123077.
Повний текст джерелаSyed, Khajamoinuddin, William C. Sleeman, Michael Hagan, Jatinder Palta, Rishabh Kapoor, and Preetam Ghosh. "Multi-View Data Integration Methods for Radiotherapy Structure Name Standardization." Cancers 13, no. 8 (April 9, 2021): 1796. http://dx.doi.org/10.3390/cancers13081796.
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