详情

原文传递 Autonomous Action by Learning Group Action Protocols and Case-Based Reasoning.

题名：	Autonomous Action by Learning Group Action Protocols and Case-Based Reasoning.
作者：	Ho, T.
关键词：	Clustering, Myocardial ischemia, Artificial neural networks, Supervised machine learning, Probabilistic models, Heart diseases, Cardiovascular system, Machine learning, Disease attributes, Data mining, Pain, Therapy, Autonomous systems, Action recommendation, Heterogeneous, Temporal, Similarity, Measure, Mixed data, Complex object, Nearest neighbor, Nearest, Neighbor
摘要：	The PI has been successful in their tasks for this research grant. They were able to develop and test a new learning theory and algorithms that can learn recommended sequence of actions for heterogeneous and temporal objects, and tested the new algorithm to create treatment actions for a patient. The method developed is generic enough to be applicable to many autonomous systems with appropriate adaptations. There was 1 conference paper and one submitted journal paper as a direct result of this grant.
报告类型：	科技报告