The Nature of Statistical Learning Theory

2000/01/01 by Vladimir Vapnik, Vladimir N. Vapnik · 14 citations
Computer Science · Engineering · #Control Systems and Identification #Neural Networks and Applications

paper · doi:10.1007/978-1-4757-3264-1

crossref issued 2000/01/01 · crossref published 2000/01/01 · crossref published-print 2000/01/01 · openalex publication_date 2000/01/01 · crossref created 2013/06/04 · crossref deposited 2019/04/06 · openalex created_date 2025/10/10 · crossref indexed 2026/08/04 · openalex updated_date 2026/08/04

Cited by

• Latent feature mining of spatial and marginal characteristics for mammographic mass classification
• Interest rates mapping
• Hunting for "Oddballs" with Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with Autoencoders
• A model for prejudiced learning in noisy environments
• Combinatorial QSAR of Ambergris Fragrance Compounds
• Optimal experimental design and some related control problems
• Statistical Significance of the Netflix Challenge
• Bayes not Bust! Why Simplicity is no Problem for Bayesians
• Seizure prediction using EEG spatiotemporal correlation structure
• SteelBlastQC: Shot-blasted Steel Surface Dataset with Interpretable Detection of Surface Defects
• Estimation of Large-Scale Solar Rooftop PV Potential for Smart Grid Integration: A Methodological Review
• A Survey of Applications and Human Motion Recognition with Microsoft Kinect
• Anomaly detection
• Bias–variance tradeoff [wikipedia]