机构

• 自动化研究所 [10]
• 武汉岩土力学研究所 [2]
• 金属研究所 [1]
• 地质与地球物理研究所 [1]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 更多

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [10]
• 学位论文 [5]
• 会议论文 [1]

发表日期

• 2024 [2]
• 2022 [1]
• 2021 [1]
• 2014 [1]
• 2012 [2]
• 2011 [3]
• 更多

学科主题

筛选

浏览/检索结果: 共16条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Evaluation of Reservoir Porosity and Permeability from Well Log Data Based on an Ensemble Approach: A Comprehensive Study Incorporating Experimental, Simulation, and Fieldwork Data 期刊论文  OAI收割 NATURAL RESOURCES RESEARCH, 2024, 页码: 26 作者:  Nyakilla, Edwin E.;  Guanhua, Sun;  Hongliang, Hao;  Charles, Grant;  Nafouanti, Mouigni B.   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/06/27 Machine learning  AdaBoost  multivariate analysis  permeability  porosity  well logs   Crack damage prediction of asphalt pavement based on tire noise: A comparison of machine learning algorithms 期刊论文  OAI收割 CONSTRUCTION AND BUILDING MATERIALS, 2024, 卷号: 414, 页码: 13 作者:  Li, Huixia;  Nyirandayisabye, Ritha;  Dong, Qiming;  Niyirora, Rosette;  Hakuzweyezu, Theogene   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/06/27 Road surface damage  Machine learning  AdaBoost classifier  Tire noise  Noise reduction  Stacking classifier   A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach 期刊论文  OAI收割 JOURNAL OF FORECASTING, 2022, 页码: 22 作者:  Li, Zhongfei;  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang   |  收藏  |  浏览/下载：25/0  |  提交时间：2023/02/07 AdaBoost-ensemble  deep learning  hybrid data preprocessing-analysis strategy  LSTM   Drilling formation perception by supervised learning: Model evaluation and parameter analysis 期刊论文  OAI收割 JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2021, 卷号: 90, 页码: 12 作者:  Ye, Zhihui;  Guo, Siyao;  Chen, Dong;  Wang, Han;  Li, Shouding   |  收藏  |  浏览/下载：38/0  |  提交时间：2021/10/19 Lithology identification  Machine learning  Well logging data  Adaboost  Optimal parameter combination   Online Adaboost-Based Parameterized Methods for Dynamic Distributed Network Intrusion Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2014, 卷号: 44, 期号: 1, 页码: 66-82 作者:   收藏  |  浏览/下载：43/0  |  提交时间：2015/08/12 Dynamic distributed detection  network intrusions  online Adaboost learning  parameterized model   On hyperspectral remotely sensed image classification based on MNF and AdaBoosting (EI CONFERENCE) 会议论文  OAI收割 2012 3rd IEEE/IET International Conference on Audio, Language and Image Processing, ICALIP 2012, July 16, 2012 - July 18, 2012, Shanghai, China 作者:  Yu P.;  Yu P.;  Gao X. 收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25 As an effective statistical learning tool  AdaBoosting has been widely used in the field of pattern recognition. In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the minimum noise fraction (MNF) and AdaBoosting. Because the hyperspectral imagery has many bands which have strong correlation and high redundancy  the hyperspectral data are pre-processed by the minimum noise fraction to reduce the data's dimensionality  whilst to remove noise bands simultaneously. Then  we use an AdaBoost algorithm to conduct the classification of hyperspectral remotely sensed image. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.   Ladle Furnace Liquid Steel Temperature Prediction Model Based on Optimally Pruned Bagging 期刊论文  OAI收割 JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL, 2012, 卷号: 19, 期号: 12, 页码: 21-28 作者:  Lue Wu;  Mao Zhizhong;  Yuan Ping   |  收藏  |  浏览/下载：20/0  |  提交时间：2021/02/02 ENSEMBLES  NETWORKS  Bagging  extreme learning machine  LF liquid steel temperature prediction model  AdaBoost   Boosted multi-class semi-supervised learning for human action recognition 期刊论文  OAI收割 PATTERN RECOGNITION, 2011, 卷号: 44, 期号: 10-11, 页码: 2334-2342 作者:  Zhang, Tianzhu;  Liu, Si;  Xu, Changsheng;  Lu, Hanqing 收藏  |  浏览/下载：31/0  |  提交时间：2015/08/12 Semi-supervised learning  Action recognition  adaBoost.MH  co-EM   Boosted Exemplar Learning for Action Recognition and Annotation 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2011, 卷号: 21, 期号: 7, 页码: 853-866 作者:  Zhang, Tianzhu;  Liu, Jing;  Liu, Si;  Xu, Changsheng;  Lu, Hanqing 收藏  |  浏览/下载：41/0  |  提交时间：2015/08/12 Action annotation  action recognition  AdaBoost  mi-SVM  multiple instance learning (MIL)   视频中行为分析关键技术研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 作者:  张天柱 收藏  |  浏览/下载：152/0  |  提交时间：2015/09/02 行为识别  多视角学习  半监督学习  图模型  AdaBoost  Co-EM  Co-Training  action recognition  multi-view learning  semi-supervised learning  graph model  AdaBoost  Co-EM  Co-Training