{ "info": { "author": "Anton Akusok", "author_email": "akusok.a@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "MD-ELM\n\nDetection of originally mislabelled samples in a dataset, with Optimally Pruned Extreme Learning Machine (OP-ELM).\n\nThe MDELM function is the core of MD-ELM method, which returns 'likelihood of being a mislabel' score for each sample.\n\nAdditional methods are given for running the whole methodology. They generate multiple models, store them in files, \nprocess the models and combine results. 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