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武汉大学 [12]

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清华大学 [8]

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	Online Bayesian max-margin subspace learning for multi-view classification and regression 期刊论文 MACHINE LEARNING, 2019, 页码: 31 作者: He, Jia; Du, Changying; Zhuang, Fuzhen; Yin, Xin; He, Qing 收藏 \| 浏览/下载：6/0 \| 提交时间：2020/12/10 Multi-view learning Online learning Bayesian subspace learning Max-margin Classification Regression
	A Probabilistic Process Neural Network and Its Application in ECG Classification 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 50431-50439 作者: Feng, Naidan; Xu, Shaohua; Liang, Yongquan; Liu, Kun 收藏 \| 浏览/下载：19/0 \| 提交时间：2019/12/11 Dynamic signal classification Bayesian decision rules probabilistic process neural network training algorithm ECG signal classification
	Hierarchical sparse coding from a Bayesian perspective 期刊论文 NEUROCOMPUTING, 2018, 卷号: 272, 页码: 279-293 作者: Zhang, Yupei; Xiang, Ming; Yang, Bo 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/11/26 Sparse representation based classification Hierarchical sparse modeling Spike-and-slab prior Laplacian prior Bayesian framework
	Three-Layer Bayesian Network for Classification of Complex Power Quality Disturbances 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 页码: 3997-4006 作者: Luo, Yi; Li, Kaicheng; Li, Yuanzheng; Cai, Delong; Zhao, Chen 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/26 Bayesian network Monte Carlo method multilabel classification power quality disturbances (PQDs)
	A Method of Automatically Identifying Learners' help-seeking Behavior Classifications in Online Learning Environment 期刊论文 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND BUSINESS ANALYTICS (ICDSBA 2018), 2018, 页码: 255-258 作者: Ye, Junmin*; Zhao, Lixian; Luo, Daxiong; Wang, Zhifeng; Chen, Shu 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/23 learner's help-seeking behavior classification K-Means clustering algorithm t-distributed Stochastic Neighbor Embedding algorithm Naive Bayesian classification algorithm
	Prediction of Effective Drug Combinations by an Improved Naive Bayesian Algorithm 期刊论文 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2018, 卷号: Vol.19 No.2 作者: Bai, LY; Dai, H; Xu, Q; Junaid, M; Peng, SL 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/26 drug combination classification and prediction improved naive Bayesian algorithm metabolic enzyme
	Prediction of Effective Drug Combinations by an Improved Naïve Bayesian Algorithm. 期刊论文 Int J Mol Sci, 2018, 卷号: Vol.19 No.2 作者: Bai LY; Dai H; Xu Q; Junaid M; Peng SL 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/26 classification and prediction drug combination improved naïve Bayesian algorithm metabolic enzyme
	A Novel Intrusion Detection System Based on Advanced Naive Bayesian Classification 期刊论文 Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2018, 卷号: 211, 页码: 581-588 作者: Wang, Y.; Li, Y.; Tian, D.; Wang, C.; Wang, W. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 5G mobile communication systems Classification (of information) Computer crime Learning systems Mercury (metal) Network security Pattern recognition Pattern recognition systems Security of data Wireless networks Classification results Detection performance Intrusion Detection Systems Machine learning models Naive Bayesian classification ReliefF Relieff algorithms True positive rates Intrusion detection
	Learning deep features to recognise speech emotion using merged deep CNN 期刊论文 IET SIGNAL PROCESSING, 2018, 卷号: 12, 页码: 713-721 作者: Zhao, Jianfeng; Mao, Xia; Chen, Lijiang 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 speech recognition learning (artificial intelligence) emotion recognition optimisation speech emotion recognition merged deep CNN deep features merged convolutional neural network 1D CNN branch 2D CNN branch transfer learning Bayesian optimisation emotion classification
	CCMS: A calorie consumption monitoring system for exercising with least-squares calibration 会议论文 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings 作者: Jin, X.; Niu, J.; Gu, F. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Calibration Energy utilization mHealth Smartphones Sports medicine Built-in sensors Commercial Devices Consumption measurement Intelligent classification Least squares methods Measuring accuracy Monitoring approach Naive Bayesian Classifier Monitoring

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