AAAI Publications, Sixteenth AAAI/SIGART Doctoral Consortium

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Learning with Imprecise Classes, Rare Instances, and Complex Relationships
Srinath Ravindran

Last modified: 2011-08-04

Abstract


In applications including chemoinformatics, bioinfor- matics, information retrieval, text classification, com- puter vision and others, a variety of common issues have been identified involving frequency of occurrence, variation and similarities of instances, and lack of pre- cise class labels. These issues continue to be important hurdles in machine intelligence and my doctoral thesis focuses on developing robust machine learning models that address the same.

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