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浏览/检索结果: 共5条，第1-5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：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A novel approach to intrusion detection using SVM ensemble with feature augmentation 期刊论文 COMPUTERS & SECURITY, 2019, 卷号: 86, 页码: 53-62 作者:  Gu, Jie;  Wang, Lihong;  Wang, Huiwen;  Wang, Shanshan 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/30 Ensemble learning  Intrusion detection  Marginal density ratios transformation  Network security  Support vector machine   Ensemble based reactivated regularization extreme learning machine for classification 期刊论文 NEUROCOMPUTING, 2018, 卷号: 275, 页码: 255-266 作者:  Zhang, Boyang;  Ma, Zhao;  Liu, Yingyi;  Yuan, Haiwen;  Sun, Lingjie 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/30 Ensemble  Extreme learning machine  Reactivated  Majority voting   A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting 期刊论文 ENERGY, 2018, 卷号: 157, 页码: 526-538 作者:   收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 Decomposition-ensemble learning methodology  Randomized algorithm  Energy price forecasting  Extreme learning machine  Random vector functional link network  Random kitchen sinks   Mining the Critical Conditions for New Hypotheses of Materials from Historical Reaction Data 会议论文 2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI), 2018-01-01 作者:  Ouyang, Zhenchao;  Liu, Yu;  Niu, Jianwei 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Chemical reaction  Materials  Machine Learning  Ensemble learning  Dark Reaction Project   A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data 期刊论文 APPLIED SOFT COMPUTING, 2018, 卷号: 69, 页码: 192-202 作者:  Yu, Lean;  Zhou, Rongtian;  Tang, Ling;  Chen, Rongda 收藏  |  浏览/下载：13/0  |  提交时间：2019/12/30 Credit classification  Imbalanced data  Deep belief network  Re-sampling  Revenue-sensitive ensemble learning  Support vector machine