Search results for "SVMs"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
23	Xiaodong Wang 0005, Haoran Zhang 0001, Changjiang Zhang, Xiushan Cai, Jinshan Wang, Meiying Ye	Online Modeling of Nonlinear Systems Using Improved Adaptive Kernel Methods.	ISNN (2)	2006	DBLP DOI BibTeX RDF
23	Ganyun Lv, Xiushan Cai, Xaidong Wang, Haoran Zhang 0001	S-transform Based LS-SVM Recognition Method for Identification of PQ Disturbances.	ICIC (1)	2006	DBLP DOI BibTeX RDF
23	Cai-Kou Chen, Qian-qian Peng, Jing-Yu Yang 0001	A Modified Large Margin Classifier in Hidden Space for Face Recognition.	MRCS	2006	DBLP DOI BibTeX RDF
23	Yong Rao, Padmavathi Mundur, Yelena Yesha	Fuzzy SVM Ensembles for Relevance Feedback in Image Retrieval.	CIVR	2006	DBLP DOI BibTeX RDF
23	Jieyue He, Wei Zhong, Robert W. Harrison, Phang C. Tai, Yi Pan 0001	Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction.	International Conference on Computational Science (2)	2006	DBLP DOI BibTeX RDF
23	Liyong Ma, Jiachen Ma 0002, Yi Shen 0001	Support Vector Machines Based Image Interpolation Correction Scheme.	RSKT	2006	DBLP DOI BibTeX RDF	support vector machines, error correction, support vector regression, Image interpolation
23	Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho	Multiclass SVM Design and Parameter Selection with Genetic Algorithms.	SBRN	2006	DBLP DOI BibTeX RDF
23	Ming Dong 0001, Jing Wu	Localized Support Vector Machines for Classification.	IJCNN	2006	DBLP DOI BibTeX RDF
23	Hyun-Chul Kim, Daijin Kim 0001, Zoubin Ghahramani, Sung Yang Bang	Gender Classification with Bayesian Kernel Methods.	IJCNN	2006	DBLP DOI BibTeX RDF
23	Ronan Collobert, Fabian H. Sinz, Jason Weston, Léon Bottou	Trading convexity for scalability.	ICML	2006	DBLP DOI BibTeX RDF
23	Benyang Tang, Dominic Mazzoni	Multiclass reduced-set support vector machines.	ICML	2006	DBLP DOI BibTeX RDF
23	Jin-Hyuk Hong, Sung-Bae Cho	Multi-class Cancer Classification with OVR-Support Vector Machines Selected by Naïve Bayes Classifier.	ICONIP (3)	2006	DBLP DOI BibTeX RDF
23	X. C. Guo, Yanchun Liang 0001, Chunguo Wu, C. Y. Wang	PSO-Based Hyper-Parameters Selection for LS-SVM Classifiers.	ICONIP (2)	2006	DBLP DOI BibTeX RDF	classification, particle swarm optimization, fitness function, parameter selection, least squares support vector machines
23	Giorgio Valentini	An experimental bias-variance analysis of SVM ensembles based on resampling techniques.	IEEE Trans. Syst. Man Cybern. Part B	2005	DBLP DOI BibTeX RDF
23	Gang Wu 0005, Edward Y. Chang	KBA: Kernel Boundary Alignment Considering Imbalanced Data Distribution.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF	Imbalanced-data training, support vector machines, supervised classification
23	Xinhua Zhang, Chunyu Kang, Zhijun Xia	Recognition of Radiated Noises of Ships Using Auditory Features and Support Vector Machines.	ISNN (2)	2005	DBLP DOI BibTeX RDF
23	Rong-Chang Chen, Tung-Shou Chen, Yuer Chien, Yuru Yang	Novel Questionnaire-Responded Transaction Approach with SVM for Credit Card Fraud Detection.	ISNN (2)	2005	DBLP DOI BibTeX RDF
23	Wei-Chiang Hong, Ping-Feng Pai, Yuying Huang, Shun-Lin Yang	Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance.	ICNC (1)	2005	DBLP DOI BibTeX RDF
23	Zongxia Xie, Qinghua Hu, Daren Yu	Fuzzy Output Support Vector Machines for Classification.	ICNC (3)	2005	DBLP DOI BibTeX RDF
23	Maryanne Domm, Andrew Engel, Peguy Pierre-Louis, Jeff Goldberg	An Integer Support Vector Machine.	SNPD	2005	DBLP DOI BibTeX RDF
23	Daniela Mayumi Ushizima, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho	Support Vector Machines Applied to White Blood Cell Recognition.	HIS	2005	DBLP DOI BibTeX RDF
23	Dell Zhang, Xi Chen, Wee Sun Lee	Text classification with kernels on the multinomial manifold.	SIGIR	2005	DBLP DOI BibTeX RDF	machine learning, support vector machine, text classification, kernels, differential geometry, manifolds
23	Ping-Feng Pai, Wei-Chiang Hong, Chih-Sheng Lin	Forecasting Tourism Demand Using a Multifactor Support Vector Machine Model.	CIS (1)	2005	DBLP DOI BibTeX RDF	multifactor support vector machines, tourism demand, Forecasting, backpropagation neural networks
23	Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho	Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees.	BSB	2005	DBLP DOI BibTeX RDF	protein cellular localization, Machine Learning, Decision Trees, multiclass Support Vector Machines
23	Srinivas Andra, Yongjun Wu	Multiresolution Histograms for SVM-Based Texture Classification.	ICIAR	2005	DBLP DOI BibTeX RDF
23	Theodoros Evgeniou, Massimiliano Pontil	Regularized multi--task learning.	KDD	2004	DBLP DOI BibTeX RDF	support vector machines, regularization, kernel methods, multi-task learning
23	Mauricio Kugler, Hiroshi Matsuo, Akira Iwata	A New Approach for Applying Support Vector Machines in Multiclass Problems Using Class Groupings and Truth Tables.	PRICAI	2004	DBLP DOI BibTeX RDF
23	Jianning Wang, Charles X. Ling	Artificial Aging of Faces by Support Vector Machines.	Canadian AI	2004	DBLP DOI BibTeX RDF
23	Han Liu 0007, Ding Liu, Jin Yu, Qi Li, Yanming Liang	Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines.	ISNN (1)	2004	DBLP DOI BibTeX RDF
23	Yimin Wen, Bao-Liang Lu	A Cascade Method for Reducing Training Time and the Number of Support Vectors.	ISNN (1)	2004	DBLP DOI BibTeX RDF
23	Shui Yu 0003, Hui Song, Fanyuan Ma	Novel SVM Performance Estimators for Information Retrieval Systems.	APWeb	2004	DBLP DOI BibTeX RDF
23	Gilles Cohen, Melanie Hilario, Christian Pellegrini	One-Class Support Vector Machines with a Conformal Kernel. A Case Study in Handling Class Imbalance.	SSPR/SPR	2004	DBLP DOI BibTeX RDF
23	Abdel Bellili, Michel Gilloux, Patrick Gallinari	An MLP-SVM combination architecture for offline handwritten digit recognition: Reduction of recognition errors by Support Vector Machines rejection mechanisms.	Int. J. Document Anal. Recognit.	2003	DBLP DOI BibTeX RDF	Offline OCR, SVM, MLP, REJECTION
23	James G. Shanahan, Norbert Roma	Boosting support vector machines for text classification through parameter-free threshold relaxation.	CIKM	2003	DBLP DOI BibTeX RDF	support vector machines, text classification, thresholding
23	Hilario Gómez-Moreno, Saturnino Maldonado-Bascón, Francisco López-Ferreras, Pedro Gil-Jiménez	Removal of Impulse Noise in Images by Means of the Use of Support Vector Machines.	IWANN (2)	2003	DBLP DOI BibTeX RDF
23	Chao Yuan, David P. Casasent	A Novel Support Vector Classifier with Better Rejection Performance.	CVPR (1)	2003	DBLP DOI BibTeX RDF
23	James G. Shanahan, Norbert Roma	Improving SVM Text Classification Performance through Threshold Adjustment.	ECML	2003	DBLP DOI BibTeX RDF
23	Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho	Human Splice Site Identification with Multiclass Support Vector Machines and Bagging.	ICANN	2003	DBLP DOI BibTeX RDF
23	Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo	A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction.	AI*IA	2003	DBLP DOI BibTeX RDF
23	Fernando De Bernardinis, Michael I. Jordan, Alberto L. Sangiovanni-Vincentelli	Support vector machines for analog circuit performance representation.	DAC	2003	DBLP DOI BibTeX RDF
23	Hyeran Byun, Seong-Whan Lee	Applications of Support Vector Machines for Pattern Recognition: A Survey.	SVM	2002	DBLP DOI BibTeX RDF
23	Dane Walsh, Christian W. Omlin	Automatic Detection of Film Orientation with Support Vector Machines.	IEA/AIE	2002	DBLP DOI BibTeX RDF
23	Eddy Mayoraz	Multiclass Classification with Pairwise Coupled Neural Networks or Support Vector Machines.	ICANN	2001	DBLP DOI BibTeX RDF
23	Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen	An empirical assessment of kernel type performance for least squares support vector machine classifiers.	KES	2000	DBLP DOI BibTeX RDF
23	Kenneth Jonsson, Josef Kittler, Yongping Li, Jiri Matas	Learning Support Vectors for Face Verification and Recognition.	FG	2000	DBLP DOI BibTeX RDF	support vector machines, face recognition, principal component analysis, linear discriminant analysis, face verification
23	Thorsten Joachims	Text Categorization with Support Vector Machines: Learning with Many Relevant Features.	ECML	1998	DBLP DOI BibTeX RDF
21	Robert P. Schumaker, Hsinchun Chen	A Discrete Stock Price Prediction Engine Based on Financial News.	Computer	2010	DBLP DOI BibTeX RDF	SVMs, Decision support, Text analysis, Quantitative analysis
21	Suju Rajan, Dragomir Yankov, Scott Gaffney, Adwait Ratnaparkhi	A large-scale active learning system for topical categorization on the web.	WWW	2010	DBLP DOI BibTeX RDF	classification with imbalanced datasets, web scale performance evaluation, active learning, svms
21	Rukshan Batuwita, Vasile Palade	A New Performance Measure for Class Imbalance Learning. Application to Bioinformatics Problems.	ICMLA	2009	DBLP DOI BibTeX RDF	SVMs, Bioinformatics, Performance Measures, Model Selection, Class Imbalance Learning
21	Sung-Hyuk Park, Soon-Young Huh, Peng Zhang 0001, Yong Shi 0001	A Study on Identifying Essential Hyperplanes for Constructing a Multiclass Classification Model.	NCM	2009	DBLP DOI BibTeX RDF	Comparison Method, MCLP, SVMs, Hyperplanes, Multiclass Classifications
21	Wenjing Han, Jing Li, Nongliang Sun	A Novel Fast Face Recognition Method of Two-Dimensional Principal Component Analysis Based on BP Neural Networks.	PACIIA (1)	2008	DBLP DOI BibTeX RDF	two-dimensional component analysis (2DPCA), BP-based neural networks, support vector machines (SVMs), face recognition, face reconstruction
21	Jun Yang 0003, Alexander G. Hauptmann	(Un)Reliability of video concept detection.	CIVR	2008	DBLP DOI BibTeX RDF	generalizability, SVMs, kNN, video concept detection
21	Xiujuan Chen, Yichuan Zhao, Yan-Qing Zhang 0001, Robert W. Harrison	Combining SVM Classifiers Using Genetic Fuzzy Systems Based on AUC for Gene Expression Data Analysis.	ISBRA	2007	DBLP DOI BibTeX RDF	Receiver Operating Characteristic (ROC), Genetic Fuzzy System (GFS), Support Vector Machines (SVMs), Gene Expression, Classifier fusion
21	Tsong Song Hwang, Tsung-Ju Lee, Yuh-Jye Lee	A three-tier IDS via data mining approach.	MineNet	2007	DBLP DOI BibTeX RDF	KDD'99, RIPPER, activity profile, whitelist, intrusion detection system, blacklist, false alarm rate, multiclass SVMs
21	Stephen Purpura, Dustin Hillard	Automated classification of congressional legislation.	DG.O	2006	DBLP DOI BibTeX RDF	U.S. congress, legislative activities, SVMs, support vector machines, text analysis, institutions
21	Julia Neumann, Christoph Schnörr, Gabriele Steidl	Combined SVM-Based Feature Selection and Classification.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	difference of convex functions programming, non-convex optimisation, SVMs, feature selection, mathematical programming, embedded methods
21	Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen	Fast SVM Training Algorithm with Decomposition on Very Large Data Sets.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF	machine learning, Support vector machines (SVMs), handwritten character recognition, algorithm design and analysis, algorithm efficiency
21	Paul N. Bennett, Jaime G. Carbonell	Detecting action-items in e-mail.	SIGIR	2005	DBLP DOI BibTeX RDF	SVMs, text classification, n-grams, e-mail
21	Gang Wang 0004, Frederick H. Lochovsky	Feature selection with conditional mutual information maximin in text categorization.	CIKM	2004	DBLP DOI BibTeX RDF	Naïve Bayes, conditional mutual information, classification, SVMs, feature selection, text categorization
21	Liu Wenyin, Wenjie Qian, Rong Xiao, Xiangyu Jin	Smart Sketchpad - An On-line Graphics Recognition System.	ICDAR	2001	DBLP DOI BibTeX RDF	support vector machines (SVMs), artificial neural network (ANN), shape recognition, Graphics recognition, sketch recognition, pen-based user interface
16	Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello	Local Binary and Multiclass SVMs Trained on a Quantum Annealer.	CoRR	2024	DBLP DOI BibTeX RDF
16	Michael Kölle 0001, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien	Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements.	ICAART (2)	2024	DBLP DOI BibTeX RDF
16	Lucas José Cruz de Mendonça, Ricardo José Ferrari, Alzheimer's Disease Neuroimaging Initiative	Alzheimer's disease classification based on graph kernel SVMs constructed with 3D texture features extracted from MR images.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
16	Sowkarthika B., Manasi Gyanchandani, Rajesh Wadhvani, Sanyam Shukla	Data complexity-based dynamic ensembling of SVMs in classification.	Expert Syst. Appl.	2023	DBLP DOI BibTeX RDF
16	Mohammad Tanveer 0001, M. A. Ganaie, A. Bhattacharjee, Chin-Teng Lin	Intuitionistic Fuzzy Weighted Least Squares Twin SVMs.	IEEE Trans. Cybern.	2023	DBLP DOI BibTeX RDF
16	Isaac Amornortey Yowetu, Nana Kena Frempong	Efficient Training of One Class Classification-SVMs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Jiani Liu 0002, Qinghua Tao, Ce Zhu, Yipeng Liu 0001, Xiaolin Huang, Johan A. K. Suykens	Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Hannes Köhler	Lp- and Risk Consistency of Localized SVMs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Chiraag Kaushik, Andrew D. McRae, Mark A. Davenport, Vidya Muthukumar	New Equivalences Between Interpolation and SVMs: Kernels and Structured Features.	CoRR	2023	DBLP DOI BibTeX RDF
16	Alessandro Benfenati, Émilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi	Majorization-Minimization for sparse SVMs.	CoRR	2023	DBLP DOI BibTeX RDF
16	Michael Kölle 0001, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien	Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements.	CoRR	2023	DBLP DOI BibTeX RDF
16	Omneya Attallah, Dina Ahmed Ragab	Auto-MyIn: Automatic diagnosis of myocardial infarction via multiple GLCMs, CNNs, and SVMs.	Biomed. Signal Process. Control.	2023	DBLP DOI BibTeX RDF
16	Marios Zachariou, Ognjen Arandjelovic, Evelin Dombay, Wilber Sabiiti, Bariki Mtafya, Nyanda Elias Ntinginya, Derek Sloan	Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
16	Shahin Pourbahrami, Mohammad Ali Balafar, Leyli Mohammad Khanli	ASVMK: A novel SVMs Kernel based on Apollonius function and density peak clustering.	Eng. Appl. Artif. Intell.	2023	DBLP DOI BibTeX RDF
16	Hassan Oukhouya, Khalid El Himdi	A comparative study of ARIMA, SVMs, and LSTM models in forecasting the Moroccan stock market.	Int. J. Simul. Process. Model.	2023	DBLP DOI BibTeX RDF
16	Dragos-stefan Mihalcea, Sergiu Nisioi	Clark Kent at SemEval-2023 Task 5: SVMs, Transformers, and Pixels for Clickbait Spoiling.	SemEval@ACL	2023	DBLP DOI BibTeX RDF
16	Çagri Çöltekin, Matteo Brivio, Fidan Can	Tübingen at PoliticIT: Exploring SVMs, Pretrained Language Models, and Linguistic Transfer for Ideology Detection in Social Media.	EVALITA	2023	DBLP BibTeX RDF
16	Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao	Conformal Prediction Enhanced SVMs for Swarm Behavior Classification.	IJCNN	2023	DBLP DOI BibTeX RDF
16	Ingrid Blaschzyk, Ingo Steinwart	Improved Classification Rates for Localized SVMs.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
16	Antoine Dedieu, Rahul Mazumder, Haoyue Wang	Solving L1-regularized SVMs and Related Linear Programs: Revisiting the Effectiveness of Column and Constraint Generation.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
16	Geonseok Lee, Kichun Lee 0001	Online dependence clustering of multivariate streaming data using one-class SVMs.	Int. J. Intell. Syst.	2022	DBLP DOI BibTeX RDF
16	Stefano Cipolla, Jacek Gondzio	Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations.	EURO J. Comput. Optim.	2022	DBLP DOI BibTeX RDF
16	Jinfu Fan, Zhongjie Wang	Partial Label Learning via GANs With Multiclass SVMs and Information Maximization.	IEEE Trans. Circuits Syst. Video Technol.	2022	DBLP DOI BibTeX RDF
16	Somya Goyal	Genetic Evolution-Based Feature Selection for Software Defect Prediction Using SVMs.	J. Circuits Syst. Comput.	2022	DBLP DOI BibTeX RDF
16	Somya Goyal	Effective software defect prediction using support vector machines (SVMs).	Int. J. Syst. Assur. Eng. Manag.	2022	DBLP DOI BibTeX RDF
16	Abhinandan Pal, Francesco Ranzato, Caterina Urban, Marco Zanella	Abstract Interpretation-Based Feature Importance for SVMs.	CoRR	2022	DBLP DOI BibTeX RDF
16	Julián Caba, Jesús Barba, Fernando Rincón, José Antonio de la Torre, Soledad Escolar, Juan Carlos López 0001	Hyperspectral Face Recognition with Adaptive and Parallel SVMs in Partially Hidden Face Scenarios.	Sensors	2022	DBLP DOI BibTeX RDF
16	M. A. Ganaie, Muhammad Tanveer 0001, Chin-Teng Lin	Large-Scale Fuzzy Least Squares Twin SVMs for Class Imbalance Learning.	IEEE Trans. Fuzzy Syst.	2022	DBLP DOI BibTeX RDF
16	Tao Liu 0035, P. R. Kumar 0001, Ruida Zhou, Xi Liu 0011	Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales.	NeurIPS	2022	DBLP BibTeX RDF
16	Saeid Zare Naghadehi, Milad Asadi, Mohammad Maleki, Seyed-Mohammad Tavakkoli-Sabour, John Lodewijk van Genderen, Samira-Sadat Saleh	Prediction of Urban Area Expansion with Implementation of MLC, SAM and SVMs' Classifiers Incorporating Artificial Neural Network Using Landsat Data.	ISPRS Int. J. Geo Inf.	2021	DBLP DOI BibTeX RDF
16	Baoqing Yang, Xin-Ping Guan, Junwu Zhu, Chaochen Gu, Kaijie Wu 0002, Jiajie Xu 0004	SVMs multi-class loss feedback based discriminative dictionary learning for image classification.	Pattern Recognit.	2021	DBLP DOI BibTeX RDF
16	Hailong Xu, Longyue Li, Pengsong Guo	Semi-supervised active learning algorithm for SVMs based on QBC and tri-training.	J. Ambient Intell. Humaniz. Comput.	2021	DBLP DOI BibTeX RDF
16	Shirin Tavara, Alexander Schliep	Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM.	PeerJ Comput. Sci.	2021	DBLP DOI BibTeX RDF
16	Jie Zhou, Zhibin Jiang, Fu-Lai Chung, Shitong Wang 0001	Formulating Ensemble Learning of SVMs Into a Single SVM Formulation by Negative Agreement Learning.	IEEE Trans. Syst. Man Cybern. Syst.	2021	DBLP DOI BibTeX RDF
16	Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro	Convex formulation for multi-task L1-, L2-, and LS-SVMs.	Neurocomputing	2021	DBLP DOI BibTeX RDF
16	Tian Chen, Hongfang Yin, Xiaohui Yuan 0001, Yu Gu 0003, Fuji Ren, Xiao Sun 0003	Emotion recognition based on fusion of long short-term memory networks and SVMs.	Digit. Signal Process.	2021	DBLP DOI BibTeX RDF
16	Bin Cao 0004, Yuqi Liu, Chenyu Hou, Jing Fan, Baihua Zheng, Jianwei Yin	Expediting the Accuracy-Improving Process of SVMs for Class Imbalance Learning.	IEEE Trans. Knowl. Data Eng.	2021	DBLP DOI BibTeX RDF
16	Abdessamad Amir, Korichi Mokhtar El Amine	A deeper Newton descent direction with generalised Hessian matrix for SVMs: an application to face detection.	Int. J. Math. Model. Numer. Optimisation	2021	DBLP DOI BibTeX RDF
16	Stefano Cipolla, Jacek Gondzio	Training very large scale nonlinear SVMs using Alternating Direction Method of Multipliers coupled with the Hierarchically Semi-Separable kernel approximations.	CoRR	2021	DBLP BibTeX RDF
16	Maximilian Lucassen, Johan A. K. Suykens, Kim Batselier	Tensor Network Kalman Filtering for Large-Scale LS-SVMs.	CoRR	2021	DBLP BibTeX RDF