Knowledge representation and organization in machine learning
Learning Concepts in Parallel Based Upon the Strategy of Version Space
IEEE Transactions on Knowledge and Data Engineering
Generalized Version Space Learning Algorithm for Noisy and Uncertain Data
IEEE Transactions on Knowledge and Data Engineering
Version spaces: an approach to concept learning.
Version spaces: an approach to concept learning.
Learning consumer preferences using semantic similarity
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
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We have modified the original version space strategy in order to learn disjunctive concepts incrementally and without saving past training instances. The algorithm time complexity is also analyzed, and its correctness is proven.