QQ客服 官方微博 反馈留言

浏览/检索结果: 共9条，第1-9条 帮助 限定条件 内容类型：会议论文    专题：中国石油大学（北京）    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 Auxiliary Feature Based Domain Adaptation for Reciprocating Compressor Diagnosis 会议论文 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), Shanghai, PEOPLES R CHINA, 2017-01-01 - 收藏  |  浏览/下载：3/0  |  提交时间：2020/01/03 domain adaptation  fault diagnosis  auxiliary features  reciprocating compressor   On Cross-domain Feature Fusion in Gearbox Fault Diagnosis under Various Operating Conditions Based on Transfer Component Analysis 会议论文 2016 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM), 2016-01-01 - 收藏  |  浏览/下载：9/0  |  提交时间：2020/01/03 Gearboxes Fault Diagnosis  Transfer Component Analysis  Dimensionality Reduction  Transfer Learning  Domain Adaptation   On Cross-domain Feature Fusion in Gearbox Fault Diagnosis under Various Operating Conditions Based on Transfer Component Analysis 会议论文 IEEE International Conference on Prognostics and Health Management (ICPHM), Carleton Univ, Ottawa, CANADA 作者:  Xie, Junyao;  Zhang, Laibin;  Duan, Lixiang;  Wang, Jinjiang 收藏  |  浏览/下载：5/0  |  提交时间：2020/01/03 Gearboxes Fault Diagnosis  Transfer Component Analysis  Dimensionality Reduction  Transfer Learning  Domain Adaptation   Multiple Source Domain Adaptation: A Sharper Bound using Weighted Rademacher Complexity 会议论文 2015 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI), 2015-01-01 - 收藏  |  浏览/下载：2/0  |  提交时间：2020/01/03 multiple source domain adaptation  weighted combination  learning bound  Rademacher complexity   Multiple Source Domain Adaptation: A Bound using p-norm Covering Numbers 会议论文 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Tainan, TAIWAN 作者:  Liu, Jianwei;  Zhou, Jiajia;  Luo, Xionglin 收藏  |  浏览/下载：2/0  |  提交时间：2020/01/03 multiple source domain adaptation  weighted combination  learning bound  p-norm covering numbers   Rademacher Complexity Bound for Domain Adaptation Regression 会议论文 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Tainan, TAIWAN 作者:  Zhou, Jiajia;  Liu, Jianwei;  Luo, Xionglin 收藏  |  浏览/下载：3/0  |  提交时间：2020/01/03 domain adaptation  error bound  covering number  Rademacher complexity  discrepancy distance   Multiple Source Domain Adaptation: A Bound using p-norm Covering Numbers 会议论文 2015 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI), 2015-01-01 - 收藏  |  浏览/下载：2/0  |  提交时间：2020/01/03 multiple source domain adaptation  weighted combination  learning bound  p-norm covering numbers   Rademacher Complexity Bound for Domain Adaptation Regression 会议论文 2015 CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI), 2015-01-01 - 收藏  |  浏览/下载：2/0  |  提交时间：2020/01/03 domain adaptation  error bound  covering number  Rademacher complexity  discrepancy distance   Multiple Source Domain Adaptation: A Sharper Bound using Weighted Rademacher Complexity 会议论文 Conference on Technologies and Applications of Artificial Intelligence (TAAI), Tainan, TAIWAN 作者:  Liu, Jianwei;  Zhou, Jiajia;  Luo, Xionglin 收藏  |  浏览/下载：3/0  |  提交时间：2020/01/03 multiple source domain adaptation  weighted combination  learning bound  Rademacher complexity