2014Statistics and Machine Learning Workshop  
最新消息活動議程活動報名截止邀請學者歷屆活動活動照片尚未開放

邀請學者

Keynote Speaker

  • Song Chun Zhu 朱松純
    Department of Statistics and Computer Science, University of California, Los Angeles
    Title 1: Pursuing a unified statistical model for regimes of image patterns
    Title 2: Understanding scenes/events by joint spatial, temporal and causal inference

Special Invited Lecture

  • Ying Nian Wu 吳英年
    Department of Statistics, University of California, Los Angeles
    Title: Hierarchical models of image patterns
  • Matt Tianfu Wu 吳田富
    Department of Statistics, University of California, Los Angeles
    Title: Learning to compute faster: bottom-up/top-down inference processes and near-optimal cost-sensitive decision policy

Invited Speakers

  • Nicole Chen 陳琬萍
    Department of Statistics, University of California, Los Angeles
    Title: Bayesian method for support recovery in multivariate multi-response linear regression
  • Yuh-Jye Lee 李育杰
    國立臺灣科技大學 資訊工程系
    Title: Online nonlinear support vector machine for large-scale classification
  • Kuo-Jung Lee 李國榮
    國立成功大學 統計學系
    Title: An application of spatial Bayesian hierarchical model with variable selection to fMRI data
  • Shou-De Lin 林守德
    國立台灣大學資訊工程學系
    Title: Transfer Recommendation: Matching users and items across domains for designing a better recommendation engine
  • Hsiang-Ling Hsu 許湘伶
    國立高雄大學 統計學研究所
    Title: Simultaneous selection of designs and models for optimal forecasting in possibly misspecified polynomial regressions
  • Ting-Li Chen 陳定立
    中央研究院 統計科學研究所
    Title: Iterative estimation by self-updating process
  • Kuan-Chu Peng 彭冠舉
    中央研究院 資訊科學研究所
    Title: Re-weighting the morphological diversity
  • Henry Horng-Shing Lu 盧鴻興
    國立交通大學 統計學研究所
    Title: Integration of Boolean and Bayesian networks






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