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Generalization Performance of Pure Accuracy and Its Application in Selective Ensemble Learning
Jieting Wang, Yuhua Qian, Feijiang Li, Jiye Liang, Qingfu Zhang
The pure accuracy measure is used to eliminate random consistency from the accuracy measure. Biases to both majority and minority classes in the pure accuracy are lower than that in the accuracy measure.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, doi:10.1109/TPAMI.2022.3171436
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AF: An Association-based Fusion Method for Multi-Modal Classification
Xinyan Liang, Yuhua Qian, Qian Guo, Honghong Cheng, Jiye Liang
Multi-modal classifification (MMC) aims to integrate the complementary information from different modalities to improve classifification performance.
IEEE Transactions on Pattern Analysis and Machine Intelligence,2022, 44(12):9236-9254.
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2023年1月14日至1月17日，DIGLAB年终总结大会在研究院二楼会议室顺利举行。此次会议以“路虽远，行则将至；事虽难，做则必成”为主题
2023-01-18
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2023年1月10日，山西省科技厅网站公布了2022年度山西省重点研发计划评审结果。山西大学数据智能团队胡治国副教授牵头申报的项目获得通过。
2023-01-12
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为激发我院师生科技创新活力，推动基础研究源头突破与科技项目成果转化。研究院于2023年1月10日举行2022年度“重要科研进展”评选工作
2023-01-11
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近期，我院在计算机领域数据挖掘方向顶级期刊《IEEE Transaction on Knowledge and Data Engineering》（IEEE T ...
2022-10-12
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图2 更紧的概率不等式与泛化误差上界本研究将进一步提出的随机一致性可学习理论用于集成学习类方法的重构, 给出可加性函数、准确度和纯准确度更紧的泛化界（如图2所示 ...
2022-09-29