14 Apr 2005
CS 3243 - Revision
39
Learning Algorithms
Many out there but the basics
are:
¡K nearest neighbors
lInstance-based
lIgnores global information
¡Naïve Bayes
lStrong independence assumption
lScales well due
to assumptions
lNeeds normalization when dealing with unseen feature values
¡Decision Trees
lEasy to understand its hypothesis
lDecides feature based on information gain