6.867 Machine Learning, Fall 2002
Principles, techniques, and algorithms in machine learning from the point of view of statistical inference; representation, generalization, and model selection; and methods such as linear/additive models, active learning, boosting, support vector machines, hidden Markov models, and Bayesian networks...
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| Format: | Learning Object |
| Language: | en-US |
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2002
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| Online Access: | http://hdl.handle.net/1721.1/46320 |