Applications of machine learning: towards knowledge synthesis
Selected papers of international conference on Fifth generation computer systems 92
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
Machine Learning
Learning Nonrecursive Definitions of Relations with LINUS
EWSL '91 Proceedings of the European Working Session on Machine Learning
Inductive Learning Applied to Program Construction and Verification
AIFIPP '92 Extended Papers from the IFIP TC12 Workshop on Artificial Intelligence from the Information Processing Perspective: Knowledge Oriented Software Design
Machines that learn to play games
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Some applications of Inductive Logic Programming (ILP) are presented. Those applications are chosen that specifically benefit from relational descriptions generated by ILP programs, and from ILP's ability to accommodate background knowledge. Applications included are: drug design, predicting the secondary structure of proteins, and design of finite-element meshes. Some other applications are briefly described. The practical advantages and disadvantages of ILP learning are discussed.