QQ客服 官方微博 反馈留言

浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2021    专题：数学与系统科学研究院    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 Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文 RESOURCES POLICY, 2021, 卷号: 74, 页码: 10 作者:  Du, Pei;  Guo, Ju'e;  Sun, Shaolong;  Wang, Shouyang;  Wu, Jing 收藏  |  浏览/下载：14/0  |  提交时间：2022/04/02 Metal prices forecasting  Data processing method  Optimized extreme learning machine  Hybrid forecasting model   Stein variational gradient descent with local approximations 期刊论文 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 386, 页码: 20 作者:  Yan, Liang;  Zhou, Tao 收藏  |  浏览/下载：10/0  |  提交时间：2022/04/02 Stein variational gradient decent  Bayesian inference  Deep learning  Local approximation   Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy 期刊论文 COMPUTATIONAL ECONOMICS, 2021, 页码: 22 作者:  Zhan, Baoqiang;  Zhang, Shu;  Du, Helen S.;  Yang, Xiaoguang 收藏  |  浏览/下载：11/0  |  提交时间：2022/04/02 Statistical arbitrage  Cointegration  Machine learning  Opportunities exploration   Learning with smooth Hinge losses 期刊论文 NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387 作者:  Luo, JunRu;  Qiao, Hong;  Zhang, Bo 收藏  |  浏览/下载：11/0  |  提交时间：2022/04/02 Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method   A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文 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：6/0  |  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   Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Lan, Hui;  Liu, Ziquan;  Hsiao, Janet H.;  Yu, Dan;  Chan, Antoni B. 收藏  |  浏览/下载：11/0  |  提交时间：2022/04/02 Hidden Markov models  Bayes methods  Data models  Computational modeling  Mixture models  Clustering algorithms  Analytical models  Clustering  hidden Markov mixture model (H3M)  hierarchical EM  variational Bayesian (VB)   Stochastic greedy algorithms for maximizing constrained submodular plus supermodular functions 期刊论文 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 页码: 9 作者:  Ji, Sai;  Xu, Dachuan;  Li, Min;  Wang, Yishui;  Zhang, Dongmei 收藏  |  浏览/下载：65/0  |  提交时间：2021/10/26 approximation algorithm  constrained  stochastic greedy  submodular plus supermodular maximization   DeepDigest: Prediction of Protein Proteolytic Digestion with Deep Learning 期刊论文 ANALYTICAL CHEMISTRY, 2021, 卷号: 93, 期号: 15, 页码: 6094-6103 作者:  Yang, Jinghan;  Gao, Zhiqiang;  Ren, Xiuhan;  Sheng, Jie;  Xu, Ping 收藏  |  浏览/下载：11/0  |  提交时间：2021/10/26 Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196 作者:  Zhang, Chihao;  Zhang, Shihua 收藏  |  浏览/下载：99/0  |  提交时间：2021/04/26 Matrix decomposition  Bayes methods  Data integration  Inference algorithms  Data models  Data mining  Gaussian distribution  Bayesian methods  matrix decomposition  data integration  variational Bayesian inference  maximum a posterior   Distribution-Free One-Pass Learning 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 3, 页码: 951-963 作者:  Zhao, Peng;  Wang, Xinqiang;  Xie, Siyu;  Guo, Lei;  Zhou, Zhi-Hua 收藏  |  浏览/下载：76/0  |  提交时间：2021/04/26 Data models  Random variables  Proposals  Training  Prediction algorithms  Task analysis  Compressed sensing  Distribution change  one-pass learning  robust learning  non-stationary environments