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Combining Regression Trees and Radial Basis Function Networks

Combining Regression Trees and Radial Basis Function Networks. paper by: M. Orr, J. Hallam, K. Takezawa, A. Murray, S. Ninomiya, M. Oide, T. Leonard presentation by: Vladimir Vacić. Contents:. Regression Trees Radial Basis Function Neural Networks Combining RTs and RBF NNs Method

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The delta rule

The delta rule. Learn from your mistakes. If it ain’t broke, don’t fix it. Outline. Supervised learning problem Delta rule Delta rule as gradient descent Hebb rule. Given examples. Find perceptron such that. Supervised learning. Example: handwritten digits.

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654 views • 19 slides

CS 461: Machine Learning Lecture 4

CS 461: Machine Learning Lecture 4. Dr. Kiri Wagstaff wkiri@wkiri.com. Plan for Today. Solution to HW 2 Support Vector Machines Neural Networks Perceptrons Multilayer Perceptrons. Review from Lecture 3. Decision trees Regression trees, pruning, extracting rules Evaluation

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317 views • 15 slides

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