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筛选

浏览/检索结果: 共58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 How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9 作者:  Sun, Shaolong;  Hu, Mengyuan;  Wang, Shouyang;  Zhang, Chengyuan   |  收藏  |  浏览/下载：27/0  |  提交时间：2023/02/07 Tourism demand forecasting  Search engine data  Two -stage feature selection  Genetic algorithm  Kernel extreme learning machine   Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12 作者:  Sun, Shaolong;  Li, Mingchen;  Wang, Shouyang;  Zhang, Chengyuan   |  收藏  |  浏览/下载：31/0  |  提交时间：2023/02/07 Tourism demand  Multi -step ahead forecasting  Privileged information  Machine learning  Kernel random vector functional link network   An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering 期刊论文  OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 11, 页码: 3129-3140 作者:  Li, Kun;  Yuan, Liang;  Zhang, Yunquan;  Chen, Gongwei   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/12/07 Clustering algorithms  Training  Mathematical models  Computational modeling  Libraries  Kernel  Support vector machines  Distributed machine learning  scalable algorithm  large-scale clustering  parallel regression   Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文  OAI收割 CURRENT ISSUES IN TOURISM, 2022, 页码: 20 作者:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong   |  收藏  |  浏览/下载：41/0  |  提交时间：2022/04/29 Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy   Mixture Correntropy-Based Kernel Extreme Learning Machines 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825 作者:  Zheng, Yunfei;  Chen, Badong;  Wang, Shiyuan;  Wang, Weiqun;  Qin, Wei   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/03/17 Kernel  Optimization  Learning systems  Robustness  Support vector machines  Mean square error methods  Extreme learning machine (ELM)  kernel method  mixture correntropy  online learning   Quality Prediction of Plasticizing and Molding Process of Single-Based Gun Propellant Based on GG-KECA-RVM Multi-Stage Model Fusion 会议论文  OAI收割 Virtual, Munich, Germany, February 10-12, 2022 作者:  Yang MY(杨明毅);  Xu ZG(徐志刚);  Wang JY(王军义i;  Yu TJ(余廷江);  Chen SB(陈舒渤)   |  收藏  |  浏览/下载：97/0  |  提交时间：2022/05/02 kernel entropy component analysis  local latent variable modeling  plasticizing and molding process  relevance vector machine  single-based gun propellant   A novel machine learning-based electricity price forecasting model based on optimal model selection strategy 期刊论文  OAI收割 ENERGY, 2022, 卷号: 238, 页码: 14 作者:  Yang, Wendong;  Sun, Shaolong;  Hao, Yan;  Wang, Shouyang   |  收藏  |  浏览/下载：36/0  |  提交时间：2022/04/02 Electricity price  Forecasting  Hybrid model  Model selection  Kernel-based extreme learning machine   EEG-based Emotion Recognition Using Multiple Kernel Learning 期刊论文  OAI收割 Machine Intelligence Research, 2022, 卷号: 19, 期号: 5, 页码: 472-484 作者:  Qian Cai;  Guo-Chong Cui;  Hai-Xian Wang   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/04/23 Emotion recognition  electroencephalography (EEG)  multiple kernel learning  machine learning  brain computer interface   A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者:  Luo, Junru;  Qiao, Hong;  Zhang, Bo   |  收藏  |  浏览/下载：26/0  |  提交时间：2022/01/27 Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures   A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者:  Luo, Junru;  Qiao, Hong;  Zhang, Bo   |  收藏  |  浏览/下载：40/0  |  提交时间：2022/04/02 Measurement  Task analysis  Covariance matrices  Support vector machines  Prediction algorithms  Minimization  Kernel  Imbalanced classification  minimax probability machine  nondecomposable performance measures