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Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15494-15511
作者:  Yang, Zhiyong;  Xu, Qianqian;  Hou, Wenzheng;  Bao, Shilong;  He, Yuan;  Cao, Xiaochun;  Huang, Qingming
收藏  |  浏览/下载：4/0  |  提交时间：2024/05/20
Optimization  Training  Perturbation methods  Machine learning  Receivers  Machine learning algorithms  Linear programming  AUC Optimization  adversarial learning  machine learning  
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：30/0  |  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  
Design and Analysis of Energy-Efficient Dynamic Range Approximate Logarithmic Multipliers for Machine Learning 期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 4, 页码: 612-625
作者:  Yin, Peipei;  Wang, Chenghua;  Waris, Haroon;  Liu, Weiqiang;  Han, Yinhe;  Lombardi, Fabrizio
收藏  |  浏览/下载：27/0  |  提交时间：2022/06/21
Adders  Dynamic range  Machine learning  Handwriting recognition  Power demand  Approximate computing  Heuristic algorithms  Approximate computing  logarithmic multiplier  operand truncation  low power  
Load Balance Guaranteed Vehicle-to-Vehicle Computation Offloading for Min-Max Fairness in VANETs 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 20
作者:  Wu, Yalan;  Wu, Jigang;  Chen, Long;  Yan, Jiaquan;  Han, Yinhe
收藏  |  浏览/下载：26/0  |  提交时间：2022/06/21
Task analysis  Vehicular ad hoc networks  Delays  Heuristic algorithms  Power control  Energy consumption  Reinforcement learning  VANET  task offloading  load balance  power control  machine learning  
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712
作者:  Cheng, Daning;  Li, Shigang;  Zhang, Hanping;  Xia, Fen;  Zhang, Yunquan
收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
Training  Scalability  Machine learning  Machine learning algorithms  Stochastic processes  Task analysis  Upper bound  Parallel training algorithms  training dataset  scalability  stochastic optimization methods  
A generalized S-K algorithm for learning v-SVM classifiers 期刊论文
PATTERN RECOGNITION LETTERS, 2004, 卷号: 25, 期号: 10, 页码: 1165-1171
作者:  Tao, Q;  Wu, GW;  Wang, J
收藏  |  浏览/下载：43/0  |  提交时间：2019/12/16
statistical machine learning  support vector machines  classification  v-SVM  S-K algorithms  soft convex hulls