We present modern machine learning, focusing on the state-of-the-art classification methods of deep networks and decision forests, as partition and vote schemes. This illustrative presentation allows for both a unified basic understanding of how these methods work from the perspective of classical statistical pattern recognition as well as useful basic insight into their relationship with each other \u2026 and with brain functioning.<\/p>\n","protected":false},"excerpt":{"rendered":"
We present modern machine learning, focusing on the state-of-the-art classification methods of deep networks and decision forests, as partition and vote schemes. This illustrative presentation allows for both a unified basic understanding of how these methods work from the perspective of classical statistical pattern recognition as well as useful basic insight into their relationship with […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"text","value":"Carey E. Priebe","user_id":0},{"type":"text","value":"Joshua T. 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