Xl Miner
Feature Selection for Supervised and Unsupervised Learning Mário A. T. Figueiredo Institute of Telecommunications, and Instituto Superior Técnico Technical.
Backpropagation training
Stopped Training and Other Remedies for OverFITtting
2D-environment navigation using a neural network
A simple classifier Ridge regression A variation on standard linear regression Adds a “ridge” term that has the effect of “smoothing” the weights Equivalent.
Computational Biology Lecture Slides Week 10 Classification (some parts taken from Introduction to Data Mining by Tan, Steinbach, Kumar)
Using Backprop to Understand Apects of Cognitive Development PDP Class Feb 8, 2010.
Herding Dynamical Weights Max Welling Bren School of Information and Computer Science UC Irvine.
Using Backprop to Understand Apects of Cognitive Development
Training Data
Support Vector and Kernel Methods
