As I was doing some reading this week, I realized how thankful I have been for some excellent resources. I wanted to take a moment to enumerate a few machine learning resources that have been immensely helpful in the past few years of practical application of many machine learning projects.

IEEE
Computer.org
IEEE Computational Intelligence Society
MIT Journal of Evolutionary Computation
Journal of Machine Learning Research
Illinois Genetic Algorithms Laboratory (IlliGAL)

There is a LOT more out there. These resources have provided the lions share of material needed to work on cutting edge machine learning. In particular:

EDAs (Estimation of Distribution Algorithms)
MOOs (Multiobjective Optimizers)
Fuzzy Classifiers
Bayesian networks
AISs (Artificial Immune Systems)

Thanks and kudos to all the people working so hard at universities around the world and in other research areas. These people provide the work needed to bring these tools, devices and techniques into practical application.

-Chris

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