Affinity propagation

• Webpage of Brendan J. Frey and Delbert Dueck

Information about Boosting

• www.boosting.org

Applets

• AdaBoost Applet (by Yoav Freund)
• Classification Applet (by Gilad Mishne)

• EM Algorithm for Mixture of Gaussians (by S. Akaho and O. Michel)

Search engines for scientific papers:

• CiteSeer
  You can search for keywords and authors of papers in the field of computer science. You can follow links to related articles to expand your search.
• CiteSeer Computer Science Directory
  Search engine for different topics (e.g. machine learning). Links to the most cited articles in different areas.
• Google Scholar
  Search engine Google in particular for scientific papers.
• NIPS
  NIPS is perhaps the most important (and very selective) annual conference in the field of subsymbolic machine learning. You can search for keywords and authors.

Journals

• Journal of Machine Learning Research
  One of the most important journals for machine learning. All articles are available online.
• Machine Learning
  The second important journal for machine learning, with many online articles.

Conferences

• NIPS
  Neural Information Processing Systems Conference.
• ICML 2005
  Most important annual conference for machine learning (this conference emerged from an AI background and therefore has more work on non-analog methods compared to NIPS. (see also ICML 2006)
• ECML 2005
  Annual european conference for machine learning.

Software

• WEKA
  Machine Learning Software in Java of the University of Waikato in New Zealand.
  • Documentation
  • Tutorial (chapter 8 of the book Data Mining by Witten and Frank).
  • WEKA Experiment Environment
• MLC++
  Machine Learning Library in C++ by Silicon Graphics
• The Spider
  Machine Learning Environment for Matlab of the MPI for biological cybernetics in Tübingen.

Further links

• CVOnline: Visual Learning
  Information about machine learning in computer vision. Part of the CVOnline, an online compendium for computer vision.
• www.kernel-machines.org
  Information about Support Vector Machines and Kernel Methods.
• UCI Machine Learning Repository
  Collection of machine learning datasets.
• The Machine Learning Network