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The Nature of Statistical Learning Theory

Citations

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Cited by:

  1. Wenshuai Wu, 2022. "Credit Risk Measurement, Decision Analysis, Transformation and Upgrading for Financial Big Data," Complexity, John Wiley & Sons, vol. 2022(1).
  2. Wenyu Zhang & Zhongyue Su & Hongli Zhang & Yanru Zhao & Zhiyuan Zhao, 2014. "Hybrid Wind Speed Forecasting Model Study Based on SSA and Intelligent Optimized Algorithm," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  3. Salih Demirel & Filiz Gunes & A. Kenan Keskin, 2015. "An UWB LNA Design with PSO Using Support Vector Microstrip Line Model," Journal of Applied Mathematics, John Wiley & Sons, vol. 2015(1).
  4. Mati, Sagiru & Usman, Abdullahi G. & Ismael, Goran Yousif & Babuga, Umar Tijjani & Nadarajah, Saralees & Masoud, Serag & Uzun Ozsahin, Dilber & Abba, Sani I., 2026. "Explainable support vector regression coupled with quantum firefly optimisation algorithm for carbon emission prediction in West Africa: The role of socioeconomic, energy, and environmental factors," Renewable Energy, Elsevier, vol. 256(PE).
  5. Kuan-Cheng Lin & Sih-Yang Chen & Jason C. Hung, 2014. "Botnet Detection Using Support Vector Machines with Artificial Fish Swarm Algorithm," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  6. Gongyue Jiang & Gaoxiu Qiao & Shiyuan Huang, 2026. "Exploring the Forecasting of Crude Oil, Gold, and Euro Currency Implied Volatility Indices: Insights From the Decomposed Stock Market Volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(3), pages 1203-1224, April.
  7. Hongjian Wang & Jinlong Xu & Aihua Zhang & Cun Li & Hongfei Yao, 2014. "Support Vector Regression‐Based Adaptive Divided Difference Filter for Nonlinear State Estimation Problems," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  8. repec:bcp:journl:v:9:y:2025:i:26:p:9998-10038 is not listed on IDEAS
  9. David Newton & Raghu Bollapragada & Raghu Pasupathy & Nung Kwan Yip, 2025. "A Retrospective Approximation Approach for Smooth Stochastic Optimization," Mathematics of Operations Research, INFORMS, vol. 50(3), pages 2301-2332, August.
  10. Jongshill Lee & Youngjoon Chee & Inyoung Kim, 2012. "Personal Identification Based on Vectorcardiogram Derived from Limb Leads Electrocardiogram," Journal of Applied Mathematics, John Wiley & Sons, vol. 2012(1).
  11. Zheping Yan & Yibo Liu & Jiajia Zhou & Di Wu, 2014. "Path Following Control of an AUV under the Current Using the SVR‐ADRC," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  12. Lan Yao & Xiongji Zhang & Dong-Hui Li & Feng Zeng & Haowen Chen, 2014. "An Interior Point Method for L1/2‐SVM and Application to Feature Selection in Classification," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  13. Mohammad Al Ridhawi & Mahtab Haj Ali & Hussein Al Osman, 2026. "Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control," Papers 2603.19136, arXiv.org, revised Apr 2026.
  14. Qiang Wang, 2014. "A Hybrid Sampling SVM Approach to Imbalanced Data Classification," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  15. Amirnequiee, Shobeir & Naoum-Sawaya, Joe & Pun, Hubert, 2026. "Robust framework for the joint learning of consumer preferences and market segmentation," Omega, Elsevier, vol. 138(C).
  16. Mehran Besharatifar & Mohammadnabi Jalali & Keivan Rahsepas, 2026. "A Multi-Level Data Mining and Blending Framework for Enhanced Accuracy of Satellite-Based Datasets in Hydrological Applications," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 40(1), pages 1-16, January.
  17. Zhen-Yu Chen & Minghe Sun, 2025. "Deep Stacking Kernel Machines for the Data-Driven Multi-Item, One-Warehouse, Multiretailer Problems with Backlog and Lost Sales," INFORMS Journal on Computing, INFORMS, vol. 37(4), pages 894-916, July.
  18. Tarek Merabtene & Abdullahi G. Usman & Berna Uzun & Dilber Uzun Ozsahin, 2026. "Water Demand Forecasting Based on Multi-Rainfall Gauging Stations using Stand-Alone Soft Computing Techniques with Improved Novel Hybrid Paradigms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 40(4), pages 1-23, March.
  19. Meiyan Zhao & Yuhu Zhang & Tao Hu & Peng Wang, 2022. "Interval Prediction Method for Solar Radiation Based on Kernel Density Estimation and Machine Learning," Complexity, John Wiley & Sons, vol. 2022(1).
  20. Yoann Pull, 2025. "Support Vector Machines," Post-Print hal-05331339, HAL.
  21. Shen Yin & Xin Gao & Hamid Reza Karimi & Xiangping Zhu, 2014. "Study on Support Vector Machine‐Based Fault Detection in Tennessee Eastman Process," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  22. Ling‐Jing Kao & Chih‐Chou Chiu & Tai‐Hsi Wu & Ya‐Yi Lin, 2026. "From ESG Disclosure to Financial Impact: Unpacking the Role of SDG Alignment and Lag Effect in ICT Firms," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 33(2), pages 2527-2546, March.
  23. Hasna El Maizi & Rachid Fateh & Mathieu Pouliquen & Said Safi & Miloud Frikel, 2026. "Kernel-Based Machine Learning Ellipsoidal Outer Bounding for Non-Line-of-Sight Outdoor and Indoor Channel Identification," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 89(1), pages 1-18, March.
  24. Jieying Gao & Huan Guo & Xin Xu, 2022. "Multifactor Stock Selection Strategy Based on Machine Learning: Evidence from China," Complexity, John Wiley & Sons, vol. 2022(1).
  25. Bogdan Oancea & Mihaela Simionescu & Richard Pospisil, 2025. "Do Machine Learning Techniques Outperform Autoregressive Distributed Lag Models in Inflation Forecasting?," Prague Economic Papers, Prague University of Economics and Business, vol. 2025(4), pages 495-558.
  26. Wenqing Li & Chuhan Yang & Saif Eddin Jabari, 2022. "Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning," Transportation Science, INFORMS, vol. 56(1), pages 52-78, January.
  27. Fanping Zhang & Huichao Dai & Deshan Tang, 2014. "A Conjunction Method of Wavelet Transform‐Particle Swarm Optimization‐Support Vector Machine for Streamflow Forecasting," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
  28. Cheng Wang & Weilin Nie, 2014. "Constructive Analysis for Least Squares Regression with Generalized K‐Norm Regularization," Abstract and Applied Analysis, John Wiley & Sons, vol. 2014(1).
  29. Soheila Pouyan & Mojgan Bordbar & Hamid Reza Pourghasemi, 2025. "Mapping dust storms and drought susceptibility: a multihazard approach for reducing infrastructure risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(18), pages 21505-21529, November.
  30. Lu, Tong & Zhang, Haochun & Zhou, Ziyang & You, Ersheng, 2025. "Analysis and optimization of a nuclear power S-CO2 recompression Brayton CHP system on Mars using hybrid CPO-SVR-COA metaheuristics," Energy, Elsevier, vol. 333(C).
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