MULTIPLE-INSTANCE AND ONE-CLASS RULE-BASED ALGORITHMS
In this work we developed rule-based algorithms for multiple-instance learning and one-class learning problems, namely, the mi-DS and OneClass-DS algorithms. Multiple-Instance Learning (MIL) is a variation of classical supervised learning where there is a need to classify bags (collection) of instan...
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| Format: | Others |
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VCU Scholars Compass
2013
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| Online Access: | http://scholarscompass.vcu.edu/etd/3059 http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=4058&context=etd |