Here are some short notes and link resources for interactive machine learning I’ve read.
- A brief intro from blog Machine Learning Thoughts: http://hunch.net/?p=49
- From the same blog, the article Interactive Machine Learning : http://hunch.net/?p=322. It defines what is and isn;t interactive ML. Active Learning is also included in Interactive ML, of course. The most important fact about AL is that “In active learning, the interaction is choosing which examples to label, and the learning is choosing from amongst a large set of hypotheses.” The keypoint is “which example to label”. There are plenty of false positives and false negatives, but we should not randomly select one of them. It turns out that the algorithm is not going to learn better in that case.
- An useful resource page about Interactive Machine Learning : http://hunch.net/~jl/projects/interactive/
- ICML and KDD 2010 Tutorial on Learning through Exploration http://hunch.net/~exploration_learning/
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