Journal articles on the topic 'Incremental SVM'
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Cao, Jian, Shi Yu Sun, and Xiu Sheng Duan. "Optimal Boundary SVM Incremental Learning Algorithm." Applied Mechanics and Materials 347-350 (August 2013): 2957–62. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2957.
Full textGâlmeanu, Honorius, Lucian Mircea Sasu, and Razvan Andonie. "Incremental and Decremental SVM for Regression." International Journal of Computers Communications & Control 11, no. 6 (2016): 755. http://dx.doi.org/10.15837/ijccc.2016.6.2744.
Full textHe, Qing, Changying Du, Qun Wang, Fuzhen Zhuang, and Zhongzhi Shi. "A parallel incremental extreme SVM classifier." Neurocomputing 74, no. 16 (2011): 2532–40. http://dx.doi.org/10.1016/j.neucom.2010.11.036.
Full textSun, Jie, Hui Li, Pei-Chann Chang, and Qing-Hua Huang. "Dynamic credit scoring using B & B with incremental-SVM-ensemble." Kybernetes 44, no. 4 (2015): 518–35. http://dx.doi.org/10.1108/k-02-2014-0036.
Full textQin, Yuping, Dan Li, and Aihua Zhang. "A New SVM Multiclass Incremental Learning Algorithm." Mathematical Problems in Engineering 2015 (2015): 1–5. http://dx.doi.org/10.1155/2015/745815.
Full textBesrour, Amine, and Riadh Ksantini. "Incremental Subclass Support Vector Machine." International Journal on Artificial Intelligence Tools 28, no. 07 (2019): 1950020. http://dx.doi.org/10.1142/s0218213019500209.
Full textYao, Yibo, and Lawrence B. Holder. "Incremental SVM-based classification in dynamic streaming networks." Intelligent Data Analysis 20, no. 4 (2016): 825–52. http://dx.doi.org/10.3233/ida-160834.
Full textRicci, Elisa, Luca Rugini, and Renzo Perfetti. "SVM-based CDMA receiver with incremental active learning." Neurocomputing 69, no. 13-15 (2006): 1691–96. http://dx.doi.org/10.1016/j.neucom.2006.01.015.
Full textZhang, Shi Hua, Xi Long Qu, and Xue Ye Wang. "Incremental Regressive Learning Algorithm of Support Vector Machine and its Application." Advanced Materials Research 216 (March 2011): 301–6. http://dx.doi.org/10.4028/www.scientific.net/amr.216.301.
Full textluying, Li, Zhou liling, and Tong xiaojun. "Research on Incremental Learning of SVM Based on Robustness." Journal of Physics: Conference Series 1060 (July 2018): 012053. http://dx.doi.org/10.1088/1742-6596/1060/1/012053.
Full textJin-wen, Sun, Yang Jian-wu, Lu Bin, and Xiao Jian-guo. "Incremental training for SVM-based classification with keyword adjusting." Wuhan University Journal of Natural Sciences 9, no. 5 (2004): 805–11. http://dx.doi.org/10.1007/bf02831685.
Full textWang, Jian Guo, Liang Wu Cheng, Wen Xing Zhang, and Bo Qin. "A Modified Incremental Support Vector Machine for Regression." Applied Mechanics and Materials 135-136 (October 2011): 63–69. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.63.
Full textYang Hai, Wei He, and Lei Fan. "An Incremental Learning Algorithm for SVM based on Voting Principle." International Journal of Information Processing and Management 2, no. 2 (2011): 8–14. http://dx.doi.org/10.4156/ijipm.vol2.issue2.2.
Full textGarcía Molina, José Fernando, Lei Zheng, Metin Sertdemir, Dietmar J. Dinter, Stefan Schönberg, and Matthias Rädle. "Incremental Learning with SVM for Multimodal Classification of Prostatic Adenocarcinoma." PLoS ONE 9, no. 4 (2014): e93600. http://dx.doi.org/10.1371/journal.pone.0093600.
Full textCouellan, Nicolas P., and Theodore B. Trafalis. "On-line SVM learning via an incremental primal–dual technique." Optimization Methods and Software 28, no. 2 (2013): 256–75. http://dx.doi.org/10.1080/10556788.2011.633705.
Full textYi, Yang, Jiansheng Wu, and Wei Xu. "Incremental SVM based on reserved set for network intrusion detection." Expert Systems with Applications 38, no. 6 (2011): 7698–707. http://dx.doi.org/10.1016/j.eswa.2010.12.141.
Full textWang, Guang Bin, Xian Qiong Zhao, and Yu Hui He. "Fault Diagnosis Method Based on Supervised Incremental Local Tangent Space Alignment and SVM." Applied Mechanics and Materials 34-35 (October 2010): 1233–37. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.1233.
Full textSun, Zhen Long, Ai Long Fan, and Da Lu Guan. "Power System Transient Stability Based on SVM." Advanced Materials Research 562-564 (August 2012): 1476–78. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1476.
Full textLuo, Jian, Jin Tang, and Xiaoming Xiao. "Abnormal Gait Behavior Detection for Elderly Based on Enhanced Wigner-Ville Analysis and Cloud Incremental SVM Learning." Journal of Sensors 2016 (2016): 1–18. http://dx.doi.org/10.1155/2016/5869238.
Full textSoula, Arbia, Khaoula Tbarki, Riadh Ksantini, Salma Ben Said, and Zied Lachiri. "A novel incremental Kernel Nonparametric SVM model (iKN-SVM) for data classification: An application to face detection." Engineering Applications of Artificial Intelligence 89 (March 2020): 103468. http://dx.doi.org/10.1016/j.engappai.2019.103468.
Full textTang, Ju, Ran Zhuo, DiBo Wang, JianRong Wu, and XiaoXing Zhang. "Application of SA-SVM Incremental Algorithm in GIS PD Pattern Recognition." Journal of Electrical Engineering and Technology 11, no. 1 (2016): 192–99. http://dx.doi.org/10.5370/jeet.2016.11.1.192.
Full textDagher, Issam, and Fady Azar. "Improving the SVM gender classification accuracy using clustering and incremental learning." Expert Systems 36, no. 3 (2019): e12372. http://dx.doi.org/10.1111/exsy.12372.
Full textLi, Jingmei, Di Xue, Weifei Wu, and Jiaxiang Wang. "Incremental Learning for Malware Classification in Small Datasets." Security and Communication Networks 2020 (February 20, 2020): 1–12. http://dx.doi.org/10.1155/2020/6309243.
Full textPENG, BINBIN, WENYIN LIU, YIN LIU, GUANGLIN HUANG, ZHENGXING SUN, and XIANGYU JIN. "AN SVM-BASED INCREMENTAL LEARNING ALGORITHM FOR USER ADAPTATION OF SKETCH RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 18, no. 08 (2004): 1529–50. http://dx.doi.org/10.1142/s0218001404003769.
Full textCouellan, Nicolas, and Sophie Jan. "Incremental accelerated gradient methods for SVM classification: study of the constrained approach." Computational Management Science 11, no. 4 (2013): 419–44. http://dx.doi.org/10.1007/s10287-013-0186-2.
Full textChitrakar, Roshan, and Chuanhe Huang. "Selection of Candidate Support Vectors in incremental SVM for network intrusion detection." Computers & Security 45 (September 2014): 231–41. http://dx.doi.org/10.1016/j.cose.2014.06.006.
Full textLi, Jinfeng, and Wenhao Xie. "Research of Incremental Learning Algorithm for SVM Based on Class Center Diameter." Journal of Physics: Conference Series 1894, no. 1 (2021): 012074. http://dx.doi.org/10.1088/1742-6596/1894/1/012074.
Full textThakur, Rashmi K., and Manojkumar V. Deshpande. "OKO-SVM: Online kernel optimization-based support vector machine for the incremental learning and classification of the sentiments in the train reviews." International Journal of Modeling, Simulation, and Scientific Computing 09, no. 06 (2018): 1850054. http://dx.doi.org/10.1142/s179396231850054x.
Full textWang, Guang Bin, Xue Jun Li, Zhi Cheng He, and Y. Q. Kong. "Fault Diagnosis Method Based on Supervised Manifold Learning and SVM." Advanced Materials Research 216 (March 2011): 223–27. http://dx.doi.org/10.4028/www.scientific.net/amr.216.223.
Full textFu, Ke Chang, Zhu Ming, Peng Liu, and Guo Jiang Wang. "Incremental Fault Diagnosis for Nonlinear Processes." Advanced Materials Research 433-440 (January 2012): 6430–36. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6430.
Full textZhenyu Wu, Jun Sun, Lin Feng, and Bo Jin. "A Policy of Cluster Analyzing Applied to Incremental SVM Learning with Temporal Information." Journal of Convergence Information Technology 6, no. 7 (2011): 194–202. http://dx.doi.org/10.4156/jcit.vol6.issue7.24.
Full textYin, Yingjie, De Xu, Xingang Wang, and Mingran Bai. "Online State-Based Structured SVM Combined With Incremental PCA for Robust Visual Tracking." IEEE Transactions on Cybernetics 45, no. 9 (2015): 1988–2000. http://dx.doi.org/10.1109/tcyb.2014.2363078.
Full textWu, Chunfang, Ruisheng Jia, and Tao Qiu. "Rock Burst Monitoring and Early Warning Based on Incremental Learning Method with SVM." Research Journal of Information Technology 5, no. 4 (2013): 121–24. http://dx.doi.org/10.19026/rjit.5.5797.
Full textDoan, Thanh-Nghi, Thanh-Nghi Do, and François Poulet. "Parallel incremental power mean SVM for the classification of large-scale image datasets." International Journal of Multimedia Information Retrieval 3, no. 2 (2014): 89–96. http://dx.doi.org/10.1007/s13735-014-0053-0.
Full textQin, Liang, Hong Wei Yin, Xian Jun Shi, and Zhi Cai Xiao. "An Improved Incremental Training Algorithm of Support Vector Machines." Advanced Materials Research 301-303 (July 2011): 677–81. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.677.
Full textSun, Zong Hai. "Constraint Projection Adaptive Natural Gradient Online Algorithm for SVM." Advanced Materials Research 139-141 (October 2010): 1692–96. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1692.
Full textBo Wen, Ganlin Shan, and Xiusheng Duan. "Progressive Incremental Learning Algorithm of the Support Vector Machine SVM based on Cross Validation." International Journal of Advancements in Computing Technology 5, no. 7 (2013): 621–27. http://dx.doi.org/10.4156/ijact.vol5.issue7.76.
Full textXie, Wenhao, Gongqian Liang, and Pengcheng Yuan. "Research on the incremental learning SVM algorithm based on the improved generalized KKT condition." Journal of Physics: Conference Series 1237 (June 2019): 022150. http://dx.doi.org/10.1088/1742-6596/1237/2/022150.
Full textXU, XIN, and WEI WANG. "AN INCREMENTAL GRAY RELATIONAL ANALYSIS ALGORITHM FOR MULTI-CLASS CLASSIFICATION AND OUTLIER DETECTION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 06 (2012): 1250011. http://dx.doi.org/10.1142/s0218001412500115.
Full textKim, Junmo, Geunbo Yang, Juhyeong Kim, Seungmin Lee, Ko Keun Kim, and Cheolsoo Park. "Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning." Sensors 21, no. 5 (2021): 1568. http://dx.doi.org/10.3390/s21051568.
Full textCai, Jun, and Rui Liu. "An Improved Online SVM Algorithm for Overcoming the Influence of Muscle Fatigue in sEMG Based Human Machine Interaction." Applied Mechanics and Materials 536-537 (April 2014): 1026–31. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1026.
Full textChen, Jiusheng, Xingkai Xu, and Xiaoyu Zhang. "Fault Detection for Turbine Engine Disk Based on Adaptive Weighted One-Class Support Vector Machine." Journal of Electrical and Computer Engineering 2020 (August 28, 2020): 1–10. http://dx.doi.org/10.1155/2020/9898546.
Full textGAO Yuan. "Research and Simulation on The Fast Incremental SVM Intrusion Detection Algorithm Based on Adjacent Boundary Area." International Journal of Digital Content Technology and its Applications 6, no. 22 (2012): 262–69. http://dx.doi.org/10.4156/jdcta.vol6.issue22.29.
Full textCheng, Wei-Yuan, and Chia-Feng Juang. "A Fuzzy Model With Online Incremental SVM and Margin-Selective Gradient Descent Learning for Classification Problems." IEEE Transactions on Fuzzy Systems 22, no. 2 (2014): 324–37. http://dx.doi.org/10.1109/tfuzz.2013.2254492.
Full textPronobis, Andrzej, Luo Jie, and Barbara Caputo. "The more you learn, the less you store: Memory-controlled incremental SVM for visual place recognition." Image and Vision Computing 28, no. 7 (2010): 1080–97. http://dx.doi.org/10.1016/j.imavis.2010.01.015.
Full textXiang, Ruxi, Xifang Zhu, Feng Wu, Qinquan Xu, and Jianwei Li. "Object Tracking Based on Online Semi-Supervised SVM and Adaptive-Fused Feature." Cybernetics and Information Technologies 16, no. 2 (2016): 198–211. http://dx.doi.org/10.1515/cait-2016-0030.
Full textNivre, Joakim. "Algorithms for Deterministic Incremental Dependency Parsing." Computational Linguistics 34, no. 4 (2008): 513–53. http://dx.doi.org/10.1162/coli.07-056-r1-07-027.
Full textFan, Jin, Xian Kun Zhang, Xue Tian, and Dong Liu. "An Adaptive Topic Crawler for Electronic Public Opinion." Advanced Materials Research 765-767 (September 2013): 1451–55. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1451.
Full textQin, Jianzhao, Yuanqing Li, and Wei Sun. "A Semisupervised Support Vector Machines Algorithm for BCI Systems." Computational Intelligence and Neuroscience 2007 (2007): 1–9. http://dx.doi.org/10.1155/2007/94397.
Full textChen, Bin, and Bo Meng. "Power Transformer Fault Diagnosis System Based on Learn++." Applied Mechanics and Materials 602-605 (August 2014): 2053–56. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2053.
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