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浏览/检索结果: 共7条，第1-7条 帮助 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 Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文 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：11/0  |  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 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：16/0  |  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 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：20/0  |  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 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：25/0  |  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 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：14/0  |  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 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：14/0  |  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   MSGD: A Novel Matrix Factorization Approach for Large-scale Collaborative Filtering Recommender Systems on GPUs 期刊论文 IEEE Transactions on Parallel and Distributed Systems, 2017, 页码: 1 作者:  Hao Li;  Kenli Li;  An Jiyao;  Keqin Li 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/31 Graphics processing units  Recommender systems  Sparse matrices  Optimization  Scalability  Acceleration  Collaboration  Collaborative filtering (CF)  CUDA parallelization algorithm  Matrix factorization (MF)  Multi-GPU implementation  Stochastic gradient descent (SGD)