MULTI-OUTPUT LEARNING FOR RARE EVENT ANALYSIS

被引：0
|
作者：
Shi, P. [1 ]
Shang, Q. [1 ]
Zhao, J. [1 ]
Tregear, S. [1 ]
Fuller, E. [1 ]
Zhang, S. [1 ]
机构：
[1] Bool Allen Hamilt, Mclean, VA USA
来源：
VALUE IN HEALTH | 2024年 / 27卷 / 06期
关键词：
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
MSR14
引用
收藏
页码：S262 / S262
页数：1
相关论文
共 50 条
  • [11] Safe Active Learning for Multi-Output Gaussian Processes
    Li, Cen-You
    Rakitsch, Barbara
    Zimmer, Christoph
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022, 151
  • [12] A comparative analysis of multi-output frontier models
    Zhang, Tao
    Garvey, Eoghan
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2008, 9 (10): : 1426 - 1436
  • [13] A comparative analysis of multi-output frontier models
    Tao ZHANG
    JournalofZhejiangUniversity(ScienceA:AnInternationalAppliedPhysics&EngineeringJournal), 2008, (10) : 1426 - 1436
  • [14] Multi-output regression on the output manifold
    Liu, Guangcan
    Lin, Zhouchen
    Yu, Yong
    PATTERN RECOGNITION, 2009, 42 (11) : 2737 - 2743
  • [15] Online Sparse Multi-Output Gaussian Process Regression and Learning
    Yang, Le
    Wang, Ke
    Mihaylova, Lyudmila
    IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2019, 5 (02): : 258 - 272
  • [16] Multi-output Deep Learning for Bus Arrival Time Predictions
    Petersen, Niklas Christoffer
    Rodrigues, Filipe
    Pereira, Francisco Camara
    URBAN MOBILITY - SHAPING THE FUTURE TOGETHER, 2019, 41 : 138 - 145
  • [17] Output Characteristics Analysis and Experiment of Multi-output Radial Piston Pump
    Wen D.
    Sui G.
    Feng P.
    Tian S.
    Wang S.
    Liu X.
    2018, Chinese Society of Agricultural Machinery (49): : 418 - 426
  • [18] Pareto-Based Multi-output Metamodeling with Active Learning
    Gorissen, Dirk
    Couckuyt, Ivo
    Laermans, Eric
    Dhaene, Tom
    ENGINEERING APPLICATIONS OF NEURAL NETWORKS, PROCEEDINGS, 2009, 43 : 389 - 400
  • [19] A performance bound of the multi-output extreme learning machine classifier
    Wang, Di
    Wang, Ping
    Shi, Junzhi
    MEMETIC COMPUTING, 2019, 11 (03) : 297 - 304
  • [20] Deep Learning for Multi-Output Regression Using Gradient Boosting
    Emami, Seyedsaman
    Martinez-Munoz, Gonzalo
    IEEE ACCESS, 2024, 12 : 17760 - 17772
12345