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An Environment for Machine Pedagogy: Learning How to Teach Computers to Read Music
International Conference on Intelligent User Interfaces
We believe that in many machine learning systems it would be effective to create a pedagogical environment where both the machines and the humans can incrementally learn to solve problems through interaction and adaptation. We are designing an optical music recognition (OMR) workflow system where human operators can intervene to correct and teach the system at certain stages so that they can learn from the errors and the overall performance can be improved progressively as more music scores aredblp:conf/iui/VigliensoniCF18 fatcat:r4khtkn3srcehe26jy2cy6qylu