{"id":23499899,"url":"https://github.com/dhruvsrikanth/boosting-theory","last_synced_at":"2026-02-17T01:02:19.426Z","repository":{"id":111259229,"uuid":"500597059","full_name":"DhruvSrikanth/Boosting-Theory","owner":"DhruvSrikanth","description":"A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. 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Following a literature survey on the\ncomputational learning theory behind boosting, we explore boosting, boostability, and conditions\nfor both in several boosting algorithms. Finally, we discuss the application of such algorithms in\nthe binary classification problem and extensions to the multi-class problem.\n\nView the full paper [here](Boosting_and_Boostability.pdf).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdhruvsrikanth%2Fboosting-theory","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdhruvsrikanth%2Fboosting-theory","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdhruvsrikanth%2Fboosting-theory/lists"}