Computational learning theory

Computational learning theory has led to several practical algorithms. For example, PAC theory inspired boosting, VC theory led to support vector machines, and Bayesian inference led to belief networks (by Judea Pearl).
[edit] See also ...

Computational learning theory
Learning means behaving better as a result of experience.

Machine learning, computational learning theory, and similar terms are often used in the context of Data Mining, to denote the application of generic model-fitting or classification algorithms for predictive data mining.

In the terminology of computational learning theory, the model of the target is called a ``concept'' and model inferred by the learning system is called a ``hypothesis.

"Our research is making fundamental advances in the field of computational learning theory, and we build on these results to develop robust solutions to a wide variety of real-world pattern recognition and anomaly detection problems." ...

See also: Machine learning, Inference, Classification, Neural network, Regression