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Variational deep embedding-based active learning for the diagnosis of pneumonia 期刊论文
FRONTIERS IN NEUROROBOTICS, 2022, 卷号: 16, 页码: 7
作者:  Huang, Jian;  Ding, Wen;  Zhang, Jiarun;  Li, Zhao;  Shu, Ting;  Kuosmanen, Pekka;  Zhou, Guanqun;  Zhou, Chuan;  Yu, Gang
收藏  |  浏览/下载：93/0  |  提交时间：2023/02/07
pneumonia diagnosis  active learning  variational autoencoders  brain-like computing  human-centric computing  
Learning with smooth Hinge losses 期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
作者:  Luo, JunRu;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：119/0  |  提交时间：2022/04/02
Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method  
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935
作者:  Zhang, Miao;  Li, Huiqi;  Pan, Shirui;  Chang, Xiaojun;  Zhou, Chuan;  Ge, Zongyuan;  Su, Steven
收藏  |  浏览/下载：146/0  |  提交时间：2021/10/26
Computer architecture  Training  Optimization  Neural networks  Search methods  Australia  Germanium  AutoML  neural architecture search  continual learning  catastrophic forgetting  novelty search  
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：139/0  |  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  
Robust Bayesian matrix decomposition with mixture of Gaussian noise 期刊论文
NEUROCOMPUTING, 2021, 卷号: 449, 页码: 108-116
作者:  Wang, Haohui;  Zhang, Chihao;  Zhang, Shihua
收藏  |  浏览/下载：140/0  |  提交时间：2021/10/26
Bayesian method  Matrix decomposition  Maximum a posterior  Mixture of Gaussians  
Matrix optimization based Euclidean embedding with outliers 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2021, 卷号: 79, 期号: 2, 页码: 235-271
作者:  Zhang, Qian;  Zhao, Xinyuan;  Ding, Chao
收藏  |  浏览/下载：136/0  |  提交时间：2021/10/26
Euclidean embedding  Outliers  Matrix optimizationg  Low-rank matrix  Error bound  
DeepDigest: Prediction of Protein Proteolytic Digestion with Deep Learning 期刊论文
ANALYTICAL CHEMISTRY, 2021, 卷号: 93, 期号: 15, 页码: 6094-6103
作者:  Yang, Jinghan;  Gao, Zhiqiang;  Ren, Xiuhan;  Sheng, Jie;  Xu, Ping;  Chang, Cheng;  Fu, Yan
收藏  |  浏览/下载：141/0  |  提交时间：2021/10/26
Bayesian Joint Matrix Decomposition for Data Integration with Heterogeneous Noise 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 4, 页码: 1184-1196
作者:  Zhang, Chihao;  Zhang, Shihua
收藏  |  浏览/下载：175/0  |  提交时间：2021/04/26
Matrix decomposition  Bayes methods  Data integration  Inference algorithms  Data models  Data mining  Gaussian distribution  Bayesian methods  matrix decomposition  data integration  variational Bayesian inference  maximum a posterior  
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model 期刊论文
JOURNAL OF MACHINE LEARNING RESEARCH, 2021, 卷号: 22, 页码: 39
作者:  Hao, Meiling;  Qu, Lianqiang;  Kong, Dehan;  Sun, Liuquan;  Zhu, Hongtu
收藏  |  浏览/下载：171/0  |  提交时间：2021/10/26
High dimension  Imaging genetics  Matrix linear regression  Optimal mini-max rate  Variable selection  
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 1, 页码: 355-364
作者:  Jing, Fang;  Zhang, Shao-Wu;  Cao, Zhen;  Zhang, Shihua
收藏  |  浏览/下载：160/0  |  提交时间：2021/04/26
Bioinformatics  machine learning  transcription factors binding sites  convolutional neural networks  DNA accessibility  histone modification