Hybrid Inductive Machine Learning: An Overview of CLIP Algorithms
Krzysztof J. Cios, Lukasz Kurgan · Studies in fuzziness and soft computing · 2002
The chapter describes inductive machine learning methods for generating hypotheses about given training data. It focuses on hybrid algorithms that generate hypotheses in the form of production if... then... rules, which constitute the model of the data. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.