講義資料
    
    
      - 2017.10.20
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	Learning and Computing
        Slide
      
- 2017.10.27
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	Pattern Mining
        Slide
      
- 2017.11.10
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	Graph Mining
        Slide
      
- 2017.11.17
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	Supervised Pattern Mining
        Slide
      
- 2017.11.24
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	Boltzmann Machines
        Slide
      
- 2017.12.1
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	Bias-Variance Tradeoff
        Slide
      
- 2017.12.8
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	Clustering
        Slide
      
- 2017.12.15
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	Outlier Detection
        Slide
      
- 2018.1.9
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	Classification
        Slide
      
- 2018.1.16
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	Support Vector Machines
        Slide
      
- 2018.1.19
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	Feature Selection
        Slide
      
      - 2018.11.28
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	Machine Learning for Graph Structured Data
        Slide
      
      - 2019.1.28
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	Machine Learning and Information Geometry
        Slide
      
- 2019.2.4
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	Machine Learning and Information Geometry II
        Slide
      
      - 2016.11.15
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	Learning and Computing
        Slide
      
- 2016.11.22
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	Refinement on Learning
        Slide
      
- 2016.12.06
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	Discretization and Learning
        Slide
      
- 2016.12.13
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	Statistical Analysis
	Slide
      
      - 2016.8.10
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	計算機による学習と発見 —統計的な解析—
        Slide
      
      - 2014.6.16
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	Distance-based Outlier Detection via Sampling
        Slide
      
- 2017.10.19
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      Information Geometric Analysis on Partial Order Structures
      Slide
      
      Part 1: Introduction
      
        - 2011.4.15
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Part 2: PowerPointの使い方
      
        - 2011.4.22
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Part 3: 統計法の実践
      
        - 2011.6.3
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- 2011.6.17
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- 2011.6.24
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- 2011.7.1
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- 2011.7.8
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- 2011.7.15
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- 2011.7.22
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