An overview of statistical learning theory. Vapnik, V. N. IEEE Trans Neural Netw, 10(5):988–999, 1999.
doi  bibtex   
@Article{vapnik99overview,
  author   = {V. N. Vapnik},
  title    = {An overview of statistical learning theory},
  journal  = {IEEE Trans Neural Netw},
  year     = {1999},
  volume   = {10},
  number   = {5},
  pages    = {988--999},
  optmonth    = sep,
  issn     = {1045-9227},
  doi      = {10.1109/72.788640},
  keywords = {estimation theory, generalisation (artificial intelligence), learning (artificial intelligence), statistical analysis, function estimation, generalization conditions, multidimensional function estimation, statistical learning theory, support vector machines, Algorithm design and analysis, Loss measurement, Machine learning, Multidimensional systems, Pattern recognition, Probability distribution, Risk management, Statistical learning, Support vector machines},
}
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