Links to external resources. See also RelatedLiterature.
The LEIA project brings together a couple of mature approaches to Artificial Intelligence: Computational Learning, Statistical Inference (either Bayesian or using the Minimum Description Length principle), Autonomous Learning. The links below point to sites that cover one (or a few) of these subjects.
The Minimum Description Length principle
- MDL on the web
- David Dowe's minimum encoding length inference page
- CWI (Centre for Mathematics and Computer Science)
Fundamental theory of Artificial Intelligence
- AIXI a Universal theory of Artificial Intelligence (explicitly rejects the possibility of autonomous learning)
- AGI, lists a number of "strong" AI projects
- ICML International Conference on Machine Learning
- IJCAI International Joint Conference on Artificial Intelligence
- Kolmogorov Software for machine perception (C++), and tutorials on topics related to machine learning, machine perception and statistics
- Pascal Pattern Analysis, Statistical Modelling and Comupational Learning (European institution)
Data Mining and Machine Learning
- Ai Research
- Auton Lab pursues Autonomous Learning approaches to Statistical Data Mining
- Autonomous Learning Laboratory
- jBNC Bayesian Network Classifier Toolbox (in Java)
- KDD Laboratory for Knowledge Discovery in Databases
- UCI Machine Learning
- Weka Machine Learning Software for Data Mining in Java
- RapidMiner General Machine Learning software in Java
Applications of supervised statistical learning
- POPFile is an email classification tool with a Naive Bayes classifier
Environments and Data Sets
- The Canterbury Corpus including the King James version of the Bible
- The First Web Folio Edition of Shakespeare's Works
JeroenVanMaanen, 2003/10/23 20:25 CET (via web):
Many thanks to Sytze for providing pointers to interesting sites.
Visit the LEIA project page on GitHub for project details.