Grammar guided genetic programming for multiple instance learning: an experimental study
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- Grammar guided genetic programming for multiple instance learning: an experimental study
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Multiple instance learning with bag dissimilarities
Multiple instance learning (MIL) is concerned with learning from sets (bags) of objects (instances), where the individual instance labels are ambiguous. In this setting, supervised learning cannot be applied directly. Often, specialized MIL methods ...
Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems
Multiple instance learning (MIL) is considered a generalization of traditional supervised learning which deals with uncertainty in the information. Together with the fact that, as in any other learning framework, the classifier performance evaluation ...
Multiple instance learning
The characteristics specific of MIL problems are formally identified and described.MIL methods and applications are reviewed in the light of the problem characteristics.Comparative experiments show the impact of problem characteristics on 16 reference ...
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