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KNOWLEDGE-TRANSFER-BASED LEARNING FRAMEWORK FOR AIRSPACE SITUATION EVALUATION
KNOWLEDGE-TRANSFER-BASED LEARNING FRAMEWORK FOR AIRSPACE SITUATION EVALUATION
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机译:基于知识转移的学习框架在空间状况评估中的应用
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摘要
A sector situation (SS) evaluation framework is based on knowledge transfer and is specifically applicable for small-training-sample environment. The SS evaluation framework is able to effectively mine knowledge hidden within the samples of both target and non-target sectors, and properly handle the integration between the knowledge derived from different sectors. This framework includes three main steps: (1) sufficiently mine the knowledge within the samples of the target sector using the strategies of multi-factor subset generation and multi-base evaluator construction, and build target base evaluators; (2) precisely learn the knowledge in the samples of the non-target sectors using similar strategies for the target sector, together with a sample transformation, and build non-target base evaluators; and (3) efficiently integrate the target and non-target base evaluators based on evaluation confidence analysis of those base evaluators.
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