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  • Read more about Information theory approach to Machine learning, Neural Computing and Arti cial Intelligence: a new perspectives for Statistical inference and optimal design?
  • Read more about Information theory approach to Machine learning, Neural Computing and Arti cial Intelligence: a new perspectives for Statistical inference and optimal design?
  • Read more about Pattern Recognition and Machine Learning
  • Read more about Pattern Recognition and Machine Learning
  • Read more about Function approximation, the curse of dimensionality, and sampling strategies (Pt. 3)
  • Read more about Function approximation, the curse of dimensionality, and sampling strategies (Pt. 2)
  • Read more about Function approximation, the curse of dimensionality, and sampling strategies
  • Read more about RTG Seminar
  • Read more about Variable selection in non-linear regression models: a parsimony-utility approach
  • Read more about Discrete-time approach to stochastic parameterization of spatiotemporal chaos

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