<3>74.794 Machine Learning
TEXTS:
S. Weiss and C. Kulikowski, Computer Systems That Learn, Morgan Kaufmann, 1991
James Freeman, Neural Networks, Algorithms, Applications, and Programming Techniques, Addison-Wesley, 1992.
TOPICAL OUTLINE
Statistical Techniques
% Measures for determining the quality of learning (mean-squared error etc.)
% learning using statistical techniques
% discrimination functions; multivariate analysis principle components
Decision Trees
% Learning with decision trees; rule induction
Neural Networks
% Supervised learning; unsupervised learning, competitive learning
Symbolic Learning
% Analytic methods; concept learning; learning in fuzzy systems
% case-based reasoning
Genetic Algorithms
% Genetic algorithms and classifier systems
Analysis
% Comparison of learning techniques
% matching problems with techniques
% complexity of machine learning
BIBLIOGRAPHY:
R. Michalski, J. Carbonell, T. Mitchell, Machine Learning: An Artificial Intelligence Approach, Volume 1, Tioga Publishing Co., 1983.
R. Michalski, J. Carbonell, T. Mitchell, Machine Learning: An Artificial Intelligence Approach, Volume 2, Tioga Publishing Co., 1986.
Y. Kodratoff and R. Michalski, Machine Learning: An Artificial Intelligence Approach, Volume 3, Morgan Kaufmann Publishers, 1990.
Granino Korn, Neural Network Experiments on Personal Computers and Workstations, A Bradford Book, MIT Press, 1991.
JOURNALS:
- Artificial Intelligence (Journal).
- IEEE Transactions on Pattern Analysis and Machine Learning.
- IEEE Transactions of Neural Networks.
MAGAZINES: