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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks 期刊论文 COMPLEXITY, 2019, 卷号: 2019 作者:  Gao, Fei;  Huang, Teng;  Sun, Jinping;  Hussain, Amir;  Yang, Erfu 收藏  |  浏览/下载：15/0  |  提交时间：2019/12/30 Cluster analysis  Deep learning  Discriminant analysis  Fisher information matrix  Image recognition  Iterative methods  Learning algorithms  Machine learning  Radar  Radar imaging  Remote sensing  Classification results  Clustering information  Clustering methods  Kernel fisher discriminant analysis  Recognition algorithm  Semi supervisions  Semi- supervised learning  Semi-supervised learning methods  Supervised learning   Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文 RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 171-177 作者:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/30 Deep learning  High-grade serous ovarian cancer  Recurrence  Prognosis  Computed tomography  Artificial intelligence  Semi-supervised learning  Auto encoder  Unsupervised learning   Semi-Supervised Generative Adversarial Nets with Multiple Generators for SAR Image Recognition 期刊论文 SENSORS, 2018, 卷号: 18 作者:  Gao, Fei;  Ma, Fei;  Wang, Jun;  Sun, Jinping;  Yang, Erfu 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 Generative Adversarial Networks (GANs)  semi-supervised recognition  Synthetic Aperture Radar (SAR)  deep learning   SSDMV: Semi-supervised Deep Social Spammer Detection by Multi-View Data Fusion 会议论文 2018 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2018-01-01 作者:  Li, Chaozhuo;  Wang, Senzhang;  He, Lifang;  Yu, Philip S.;  Liang, Yanbo 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 Social Spammer Detection  Deep Learning  Semi-supervised Learning   Structural information aware deep semi-supervised recurrent neural network for sentiment analysis 期刊论文 FRONTIERS OF COMPUTER SCIENCE, 2015, 卷号: 9, 页码: 171-184 作者:  Rong, Wenge;  Peng, Baolin;  Ouyang, Yuanxin;  Li, Chao;  Xiong, Zhang 收藏  |  浏览/下载：1/0  |  提交时间：2020/01/06 sentiment analysis  recurrent neural network  deep learning  machine learning   A 3D model recognition mechanism based on deep Boltzmann machines 期刊论文 NEUROCOMPUTING, 2015, 卷号: 151, 页码: 593-602 作者:  Leng, Biao;  Zhang, Xiangyang;  Yao, Ming;  Xiong, Zhang 收藏  |  浏览/下载：1/0  |  提交时间：2020/01/06 3D model recognition  Deep Boltzmann machines  Semi-supervised learning