===== Stochastic Learning =====

This paper summarizes my lecture at the 
[[http://www.irccyn.ec-nantes.fr/mlschool/mlss03/home03.php|Machine Learning Summer School 2003, Tübingen]].

//Abstract//: This contribution presents an overview of the theoretical and practical
aspects of the broad family of learning algorithms based on Stochastic
Gradient Descent, including Perceptrons, Adalines, K-Means, LVQ, Multi-Layer
Networks, and Graph Transformer Networks.

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Léon Bottou: **Stochastic Learning**,  //Advanced Lectures on Machine Learning//, 146-168, Edited by Olivier Bousquet and Ulrike von Luxburg, Lecture Notes in Artificial Intelligence, LNAI 3176, Springer Verlag, Berlin, 2004.

[[http://leon.bottou.org/publications/djvu/mlss-2003.djvu|mlss-2003.djvu]]
[[http://leon.bottou.org/publications/pdf/mlss-2003.pdf|mlss-2003.pdf]]
[[http://leon.bottou.org/publications/psgz/mlss-2003.ps.gz|mlss-2003.ps.gz]]
</box>

  @incollection{bottou-mlss-2004,
    author = {Bottou, L\'{e}on},
    title = {Stochastic Learning},
    booktitle = {Advanced Lectures on Machine Learning},
    pages = {146-168},
    publisher = {Springer Verlag},
    year = {2004},
    editor = {Bousquet, Olivier and von Luxburg, Ulrike},
    series = {Lecture Notes in Artificial Intelligence, LNAI~3176},
    address = {Berlin},
    url = {http://leon.bottou.org/papers/bottou-mlss-2004},
  }