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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：141/0  |  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  
Group-Sparse SVD Models via L-1- and L-0-norm Penalties and their Applications in Biological Data 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 2, 页码: 536-550
作者:  Min, Wenwen;  Liu, Juan;  Zhang, Shihua
收藏  |  浏览/下载：157/0  |  提交时间：2021/04/26
Sparse SVD  low-rank matrix decomposition  group-sparse penalty  overlapping group-sparse penalty  coordinate descent method  alternating direction method of multipliers (ADMM)  data mining  
OptQuant: Distributed training of neural networks with optimized quantization mechanisms 期刊论文
NEUROCOMPUTING, 2019, 卷号: 340, 页码: 233-244
作者:  He, Li;  Zheng, Shuxin;  Chen, Wei;  Ma, Zhi-Ming;  Liu, Tie-Yan
收藏  |  浏览/下载：231/0  |  提交时间：2019/12/13
Distributed machine learning  Deep learning  Stochastic gradient descent  Gradient quantization  
Network-Regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker Discovery 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2018, 卷号: 15, 期号: 3, 页码: 944-953
作者:  Min, Wenwen;  Liu, Juan;  Zhang, Shihua
收藏  |  浏览/下载：249/0  |  提交时间：2018/07/30
Sparse logistic regression  network-regularized penalty  survival risk prediction  feature selection  
Efficient isometric multi-manifold learning based on the self-organizing method 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 345, 页码: 325-339
作者:  Fan, Mingyu;  Zhang, Xiaoqin;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：141/0  |  提交时间：2018/07/30
Isomap  Nonlinear dimensionality reduction  Manifold learning  Pattern analysis  Multi-manifold embedding  
A Probabilistic Method for Estimating the Sharing of Identity by Descent for Populations with Migration 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2016, 卷号: 13, 期号: 2, 页码: 281-290
作者:  Ni, Xumin;  Guo, Wei;  Yuan, Kai;  Yang, Xiong;  Ma, Zhiming;  Xu, Shuhua;  Zhang, Shihua
收藏  |  浏览/下载：176/0  |  提交时间：2018/07/30
Population genetics  identity by descent  probabilistic method  Markov process