Auton Technologies Glossary Index

A* ( Brigham Anderson )
Active Learning (unwritten) ( Andrew Moore )
Advantage Learning ( Leemon Baird )
Bayesian Linear Regression ( Andrew Moore )
Bayes Networks (unwritten) ( Scott Davies )
Boolean Satisfiability ( Justin Boyan )
Clustering ( Kan Deng )
Convergence of RL Algorithms ( Leemon Baird )
Combinatorial Optimization(unwritten)( Scott Davies )
Cross Validation (unwritten) ( Andrew Moore )
Data Mining (unwritten) ( Scott Davies )
Dynamic Programming (unwritten) ( Jeff Schneider )
Experiment Design (unwritten) ( Jeff Schneider )
Game Theory ( Leemon Baird )
KD-trees ( Andrew Moore )
Kernel Regression (unwritten) ( Jeff Schneider )
Linear Function Approximation ( Leemon Baird )
Linear Programming (unwritten) ( Andrew Moore )
Locally Weighted Regression(unwritten)( Jeff Schneider )
Memory Based Learning (unwritten) ( Andrew Moore )
Nearest Neighbor (unwritten) ( Andrew Moore )
Neural Networks ( Leemon Baird )
Principal Components Analysis (PCA)( Kan Deng )
Reinforcement Learning ( Justin Boyan )
Residual Algorithms ( Leemon Baird )
Simulated Annealing ( Brigham Anderson )
STAGE ( Justin Boyan )

Back to AUTON