@inproceedings{29effe440a0c4c648b44e4d3e5106db8,
title = "CAMLET: A platform for automatic composition of inductive learning systems using ontologies",
abstract = "Here is presented a platform for automatic composition of inductive learning systems using ontologies called CAMLET, based on knowledge modeling and ontologies engineering technique. CAMLET constructs an inductive applications with better competence to a given data set, using process and object ontologies. Afterwards, CAMLET instantiates and refines a constructed system based on the following refinement strategies: greedy alteration, random generation and heuristic alteration. Using the UCI repository of ML databases and domain theories, experimental results have shown us that CAMLET supports a user in constructing a inductive applications with best competence.",
author = "Akihiro Suyama and Naoya Negishi and Takahira Yamaguchi",
year = "1998",
doi = "10.1007/BFb0095270",
language = "English",
isbn = "354065271X",
volume = "1531",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "205--215",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "5th Pacific Rim Intemational Conference on Artificial Intelligence, PRICAI 1998 ; Conference date: 22-11-1998 Through 27-11-1998",
}