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Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载：409/136  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Parameter Identifiability in Statistical Machine Learning: A Review 期刊论文
NEURAL COMPUTATION, 2017, 卷号: 29, 期号: 5, 页码: 1151-1203
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(466Kb)  |  收藏  |  浏览/下载：325/97  |  提交时间：2017/07/18
Parameter Identifiability  Statistical Machine Learning  
Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children 期刊论文
MOLECULAR NEUROBIOLOGY, 2018, 卷号: 55, 期号: 4, 页码: 3251-3269
作者:  Wen, Hongwei;  Liu, Yue;  Rekik, Islem;  Wang, Shengpei;  Chen, Zhiqiang;  Zhang, Jishui;  Zhang, Yue;  Peng, Yun;  He, Huiguang;  He HG(何晖光)
浏览  |  Adobe PDF(6672Kb)  |  收藏  |  浏览/下载：612/189  |  提交时间：2017/06/06
Tourette Syndrome  Children  Functional Connectivity  Graph Theory  Topological Organization  Similarity Network Fusion  
Convergent and divergent intranetwork and internetwork connectivity patterns in patients with remitted late-life depression and amnestic mild cognitive impairment 期刊论文
CORTEX, 2016, 卷号: 83, 期号: 83, 页码: 194-211
作者:  Chen, Jiu;  Shu, Hao;  Wang, Zan;  Zhan, Yafeng;  Liu, Duan;  Liao, Wenxiang;  Xu, Lin;  Liu, Yong;  Zhang, Zhijun;  Yong Liu and Zhijun Zhang
浏览  |  Adobe PDF(3101Kb)  |  收藏  |  浏览/下载：536/214  |  提交时间：2017/02/08
Remitted Late-life Depression  Amnestic Mild Cognitive Impairment  Fmri  Intranetwork  Internetwork  
Exploring Entrainment Patterns of Human Emotion in Social Media 期刊论文
PLOS ONE, 2016, 卷号: 11, 期号: 3, 页码: e0150630
作者:  He, Saike;  Zheng, Xiaolong;  Zeng, Daniel;  Luo, Chuan;  Zhang, Zhu
浏览  |  Adobe PDF(1152Kb)  |  收藏  |  浏览/下载：365/84  |  提交时间：2016/04/03
Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 1-14
作者:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：365/80  |  提交时间：2016/03/30
Hmax  Biologically Inspired  Feedforward  Saliency Map  Middle Level Patch Learning  Feature Encoding  Multiclass Categorization  
Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data 期刊论文
IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, 2015, 卷号: 7, 期号: 4, 页码: 320-331
作者:  Jie, Nan-Feng;  Zhu, Mao-Hu;  Ma, Xiao-Ying;  Osuch, Elizabeth A.;  Wammes, Michael;  Theberge, Jean;  Li, Huan-Dong;  Zhang, Yu;  Jiang, Tian-Zi;  Sui, Jing;  Calhoun, Vince D.
Adobe PDF(1662Kb)  |  收藏  |  浏览/下载：379/69  |  提交时间：2016/01/22
Bipolar Disorder  Classification  Feature Selection  Major Depression  Multimodal Fusion  
Analyzing Positioning Strategies in Sponsored Search Auctions Under CTR-Based Quality Scoring 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 4, 页码: 688-701
作者:  Yuan, Yong;  Zeng, Daniel;  Zhao, Huimin;  Li, Linjing
浏览  |  Adobe PDF(1156Kb)  |  收藏  |  浏览/下载：373/116  |  提交时间：2015/09/21
Terms-click-through Rate (Ctr)  Optimal Control  Polarization  Quality Score (Qs)  Sponsored Search  
Co-evolution-based mechanism design for sponsored search advertising 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2012, 卷号: 11, 期号: 6, 页码: 537-547
作者:  Yuan, Yong;  Zeng, Daniel
浏览  |  Adobe PDF(1718Kb)  |  收藏  |  浏览/下载：259/76  |  提交时间：2015/08/12
Sponsored Search Advertising  Mechanism Design  Co-evolutionary Simulation  Niche-based Evolution  
Dynamic dual adjustment of daily budgets and bids in sponsored search auctions 期刊论文
DECISION SUPPORT SYSTEMS, 2014, 卷号: 57, 期号: 0, 页码: 105-114
作者:  Zhang, Jie;  Yang, Yanwu;  Li, Xin;  Qin, Rui;  Zeng, Daniel
浏览  |  Adobe PDF(983Kb)  |  收藏  |  浏览/下载：339/94  |  提交时间：2015/08/12
Sponsored Search Auction  Budget Adjustment  Continuous Reinforcement Learning  Dynamic Adjustment