An Elementary Introduction to Statistical Learning Theory
From MaRDI portal
Publication:3068129
DOI10.1002/9781118023471zbMath1231.68015OpenAlexW2480366146MaRDI QIDQ3068129
Sanjeev R. Kulkarni, Gilbert H. Harman
Publication date: 13 January 2011
Published in: Wiley Series in Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/9781118023471
Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Research exposition (monographs, survey articles) pertaining to computer science (68-02)
Related Items (4)
Generalized Gramians: Creating frame vectors in maximal subspaces ⋮ Forecast of the higher heating value in biomass torrefaction by means of machine learning techniques ⋮ Nonuniform sampling, reproducing kernels, and the associated Hilbert spaces ⋮ A hybrid DE optimized wavelet kernel SVR-based technique for algal atypical proliferation forecast in La Barca reservoir: a case study
This page was built for publication: An Elementary Introduction to Statistical Learning Theory