机构

• 自动化研究所 [5]
• 重庆绿色智能技术研究... [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [6]

发表日期

• 2022 [1]
• 2021 [3]
• 2020 [2]

学科主题

筛选

浏览/检索结果: 共6条，第1-6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 Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11 作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/06/06 Training  Estimation  Deep learning  Standards  Optimization  Noise measurement  Convergence  Deep learning  generalization performance  nontypicality sampling scheme  stochastic gradient descent (SGD)   Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者:  Peng, Xinyu;  Zhang, Jiawei;  Wang, Fei-Yue;  Li, Li   |  收藏  |  浏览/下载：14/0  |  提交时间：2022/01/27 Training  Signal to noise ratio  Mutual information  Optimization  Convergence  Deep learning  Tools  Information bottleneck (IB) theory  machine learning  minibatch stochastic gradient descent (SGD)  typicality sampling   Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文  OAI收割 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者:  Luo, Xin;  Qin, Wen;  Dong, Ani;  Sedraoui, Khaled;  Zhou, MengChu   |  收藏  |  浏览/下载：23/0  |  提交时间：2021/03/17 Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)   Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者:  Xin Luo;  Wen Qin;  Ani Dong;  Khaled Sedraoui;  MengChu Zhou   |  收藏  |  浏览/下载：16/0  |  提交时间：2021/04/09 Big data  industrial application  industrial data  latent factor analysis  machine learning  parallel algorithm  recommender system (RS)  stochastic gradient descent (SGD)   Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659 作者:  Peng, Xinyu;  Li, Li;  Wang, Fei-Yue   |  收藏  |  浏览/下载：18/0  |  提交时间：2021/01/06 Training  Convergence  Approximation algorithms  Stochastic processes  Estimation  Optimization  Acceleration  Batch selection  machine learning  minibatch stochastic gradient descent (SGD)  speed of convergence   Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 835-845 作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing   |  收藏  |  浏览/下载：33/0  |  提交时间：2020/03/30 Convergence  Convex functions  Machine learning  Optimization methods  Linear programming  Cybernetics  Individual convergence  machine learning  mirror descent (MD) methods  regularized learning problems  stochastic gradient descent (SGD)  stochastic optimization