Brigham Young University
CS 478 — Machine Learning & Data Mining
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Rule Set Learning
CS 478 · Brigham Young University
Feature Extraction and Selection
CS 478 · Brigham Young University
Learning Based on Instances (IBL)
CS 478 · Brigham Young University
Algorithms for Backpropagation
CS 478 · Brigham Young University
Instructions on Format
CS 478 · Brigham Young University
Methods of Instance Based Learning
CS 478 · Brigham Young University
Inductive Bias Generalizing Novel Data
CS 478 · Brigham Young University
Ensemble Methods
CS 478 · Brigham Young University
Principles of Machine Learning
CS 478 · Brigham Young University
Intelligence in Computation
CS 478 · Brigham Young University
Perceptron Algorithms
CS 478 · Brigham Young University
Proposals for Student Projects
CS 478 · Brigham Young University
Regression Analysis Techniques
CS 478 · Brigham Young University
Guidelines for Formatting
CS 478 · Brigham Young University
Learning via Bayesian Methods
CS 478 · Brigham Young University
Learning via Reinforcement
CS 478 · Brigham Young University
Machine Learning Performance Measurement
CS 478 · Brigham Young University