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： | Probabilistic models, Therapy, Data mining, Patients, Coding, Biomedicine, Clustering, Diseases |
| 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 andalgorithms that can learn recommended sequence of actions for heterogeneous and temporal objects, and tested the newalgorithm to create treatment actions for a patient. The method developed is generic enough to be applicable to manyautonomous systems with appropriate adaptations. There was 1 conference paper and one submitted journal paper as a directresult of this grant. |
| 报告类型： | 科技报告 |
相关文献
- PLANITS: STRUCTURING AND SUPPORTING THE INTELLIGENT TRANSPORTATION SYSTEMS PLANNING PROCESS.
- The use of multiple models in case-based diagnosis
- E-Navigation Strategic Action Plan.
- The TRAINS-90 Simulator.
- Risk-Averse Time-Dependent Route Guidance by Constrained Dynamic A* Search in Decentralized System Architecture.
检索历史
应用推荐
