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中国节能环保服务发展现状及建设展望
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作者 陈瑞亮 《皮革制作与环保科技》 2022年第9期178-180,共3页
目前,全面发展节能环保服务,对促进服务领域与社会经济的良性发展具有至关重要的现实作用,集美区企业节能环保服务在生产服务与节能环保产业中取得了重大突破。随着社会经济的逐步发展,全面积极地发展节能环保服务,可有效促使制造业全... 目前,全面发展节能环保服务,对促进服务领域与社会经济的良性发展具有至关重要的现实作用,集美区企业节能环保服务在生产服务与节能环保产业中取得了重大突破。随着社会经济的逐步发展,全面积极地发展节能环保服务,可有效促使制造业全面提高竞争力、节约成本,实现产业的转型升级。目前,国内节能环保服务依旧处于起步阶段,虽然在不断创新,还是存有很多不足之处。为了全面确保集美区企业在节能环保服务领域取得系统性发展,应该从立法、政府指导、行业协会等层面着手推进,并引入部分地区的成功经验,实现服务业的全面升级。 展开更多
关键词 节能环保 基本分型 服务 发展现状 建设展望
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Dynamic batch selective sampling based on version space analysis 被引量:4
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作者 张晓宇 《High Technology Letters》 EI CAS 2012年第2期208-213,共6页
A novel dynamic batch selective sampling algorithm based on version space analysis is presented. In the traditional batch selective sampling, example selection is entirely determined by the existing unreliable classif... A novel dynamic batch selective sampling algorithm based on version space analysis is presented. In the traditional batch selective sampling, example selection is entirely determined by the existing unreliable classification boundary; meanwhile, within a batch, examples labeled previously fail to provide instructive information for the selection of the rest. As a result, using the examples selected in batch mode for model refinement will jeopardize the classification performance. Based on the duality between feature space and parameter space under the SVM active learning fi:amework, dynamic batch selective sampling is proposed to address the problem. We select a batch of examples dynamically, using the examples labeled previously as guidance for further selection. In this way, the selection of feedback examples is determined by both the existing classification model and the examples labeled previously. Encouraging experimental results demonstrate the effectiveness of the proposed algorithm. 展开更多
关键词 relevance feedback active learning selective sampling support vector machine(SVM) version space
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