[文獻閱讀]An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints（Bian C）
目錄 前言 1、問題背景 2、subset selection problem模型 3、兩個state-of-the-art算法（對比算法） 4、文章提出的EAMC 5、理論分析 6、實驗分析 前言 這篇文章爲南京大學人工智能學院研究助理卞超所寫，主要研究內容爲提出了一個有效的進化算法求解子集選擇問題。論文地址：http://www.lamda.nju.edu.cn/qianc/aaa
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相關文章
- 1. [論文解讀]An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints
- 2. 【論文精讀】Select Via Proxy: Efficient Data Selection For Training DeepNetworks
- 3. 2018/8/24閱讀文獻 A Unified Model for Multi-Objective Evolutionary Algorithms with Elitism
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- 6. 論文閱讀（7）：VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight FR
- 7. 論文閱讀筆記5-An Asynchronous Energy-Efficient CNN Accelerator with Reconfigurable Architecture
- 8. 論文閱讀：VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Reco
- 9. A Duplication Analysis Based Evolutionary Algorithm for Bi-objective Feature Selection
- 10. 論文閱讀：An Efficient Statistical Method for Image Noise Level Estimation