In analyzing my data I wanted to classify it with a naive Bayesian classifier. I wasn't sure I had the math right, so I wrote a tiny abstract classifier to test with. The code is pretty cool:
If you are starting with Neural Networks you should check out my online book on the subject. It contains over 300 pages of information on Neural Network Programming in Java. You can access it here.
This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran's book "Programming Collective Intelligence." The book has python implementations; this is a Java implementation.
AI Related Ruby Extensions This page will maintain list of AI related extensions/modules/gems for the Ruby programming language. Please contact me if you know something I missed.
Emergent (a major rewrite of PDP++) is a comprehensive simulation environment for creating complex, sophisticated models of the brain and cognitive processes using neural network models.
L. Johannsen, S. Ramm, Y. Reckleben, and S. Doerfel. Informatik in der Land-, Forst- und Ernährungswirtschaft, volume 344 of Lecture Notes in Informatics, page 107-118. (2024)
L. He, M. Mavrikis, and M. Cukurova. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, page 327--333. Cham, Springer Nature Switzerland, (2024)
J. Gebele, P. Brune, S. von Mammen, and F. Schwab. 2024 Conference of the International Society for Research on Emotion, page 83. International Society for Research on Emotion, (2024)