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An Accurate and Efficient Large-Scale Regression Method Through Best Friend Clustering 期刊论文
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：40/0  |  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  
A Novel Attention-Mechanism Based Cox Survival Model by Exploiting Pan-Cancer Empirical Genomic Information 期刊论文
CELLS, 2022, 卷号: 11, 期号: 9, 页码: 18
作者:  Meng, Xiangyu;  Wang, Xun;  Zhang, Xudong;  Zhang, Chaogang;  Zhang, Zhiyuan;  Zhang, Kuijie;  Wang, Shudong
收藏  |  浏览/下载：30/0  |  提交时间：2022/12/07
deep learning  survival analysis  neural networks  Cox regression  cancer prognosis  
LINAC: A Spatially Linear Accelerator for Convolutional Neural Networks 期刊论文
IEEE COMPUTER ARCHITECTURE LETTERS, 2022, 卷号: 21, 期号: 1, 页码: 29-32
作者:  Xiao, Hang;  Xu, Haobo;  Wang, Ying;  Wang, Yujie;  Han, Yinhe
收藏  |  浏览/下载：30/0  |  提交时间：2022/12/07
Linear particle accelerator  Correlation  Kernel  Convolution  Linear regression  System-on-chip  Quantization (signal)  Neural network  acceleration  convolution  linear regression  bit-sparsity  
Estimating the Resource Demand in Power-Aware Clusters by Regressing a Linearly Dependent Relation 期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 3, 页码: 385-397
作者:  Hu, Cheng;  Deng, Yuhui;  Yang, Laurence T.;  Zhao, Yufan
收藏  |  浏览/下载：44/0  |  提交时间：2021/12/01
Estimation  Servers  Linear regression  Quality of service  Computational modeling  Analytical models  Task analysis  Resource demand estimation  linear regression  power-aware cluster  QoS  SLA  
ParaML: A Polyvalent Multicore Accelerator for Machine Learning 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 9, 页码: 1764-1777
作者:  Zhou, Shengyuan;  Guo, Qi;  Du, Zidong;  Liu, Daofu;  Chen, Tianshi;  Li, Ling;  Liu, Shaoli;  Zhou, Jinhong;  Temam, Olivier;  Feng, Xiaobing;  Zhou, Xuehai;  Chen, Yunji
收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10
Neural networks  Machine learning  Testing  Support vector machines  Linear regression  Computers  Computer architecture  Accelerator  machine learning (ML) techniques  multicore accelerator  
Trust-embedded collaborative deep generative model for social recommendation 期刊论文
JOURNAL OF SUPERCOMPUTING, 2020, 页码: 29
作者:  Deng, Xiaoyi;  Wu, Yenchun Jim;  Zhuang, Fuzhen
收藏  |  浏览/下载：60/0  |  提交时间：2020/12/10
Recommender system  Deep generative model  Collaborative topic regression  Trust matrix factorization  Deep learning  
面向物联网隐私数据分析的分布式弹性网络回归学习算法 期刊论文
电子与信息学报, 2020, 卷号: 42, 期号: 10, 页码: 2403
作者:  方维维;  刘梦然;  王云鹏;  李阳阳;  安竹林
收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04
Internet of Things(IoT)  Privacy protection  Elastic net regression  Distributed algorithm  Alternating Direction Method of Multipliers (ADMM)  物联网  隐私保护  弹性网络回归  分布式算法  交替方向乘子法  
Online Bayesian max-margin subspace learning for multi-view classification and regression 期刊论文
MACHINE LEARNING, 2019, 页码: 31
作者:  He, Jia;  Du, Changying;  Zhuang, Fuzhen;  Yin, Xin;  He, Qing;  Long, Guoping
收藏  |  浏览/下载：49/0  |  提交时间：2020/12/10
Multi-view learning  Online learning  Bayesian subspace learning  Max-margin  Classification  Regression  
Parameter Estimation with the Ordered l(2) Regularization via an Alternating Direction Method of Multipliers 期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 17
作者:  Humayoo, Mahammad;  Cheng, Xueqi
收藏  |  浏览/下载：89/0  |  提交时间：2020/12/10
ADMM  big data  feature selection  optimization  ridge regression  ordered regularization  elastic net  
Dimensionality Reduction in Multiple Ordinal Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4088-4101
作者:  Zeng, Jiabei;  Liu, Yang;  Leng, Biao;  Xiong, Zhang;  Cheung, Yiu-ming
收藏  |  浏览/下载：59/0  |  提交时间：2019/12/10
Dimensionality reduction (DR)  multiple labels  ordinal regression  supervised