The Institute of Scientific and Industrial Research, Osaka University

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HOME > Research Introduction > Division of Information and Quantum Sciences > Department of Reasoning for Intelligence

Department of Reasoning for Intelligence

Staff

  • Photo
    Prof.
    T. WASHIO
  • Photo
    Assoc. Prof.
    Y . KAWAHARA
  • Photo
    Assis. Prof.
    S. HARA

Content of research

Under the evolution of information & communication network and sensing technology, large scale data sets are now collected and accumulated in various scientific and social fields. However, because of our cognitive and psychological limit in the information processing capability, we are very poor at extracting useful knowledge from a huge amount of data. Our research focus is on exploring various methods of machine learning from fron large scale data using mathematical constraints and statistical search techniques.

Current Research Programs

  1. 1. Machine Learning from Super High Dimensional Data
  2. 2. Machine Learning\ Based on Discrete Convex Optimization
  3. 3. Measurement Oriented Machine Learning
  4. 4. Learning Causal Structure Based on Causal Process Invariance

Figure / Graph

  • Learning Optimal Sensor Arrangement Using Discrete Convex Optimization
    Learning Optimal Sensor Arrangement Using Discrete Convex Optimization

  • Advanced Sensing Using Meaurement Oriented Macine Learing

VIDEO INTRODUCTION

The Institute of Scientific and Industrial Research, Osaka University

contact home japanese
HOME > Research Introduction > Division of Information and Quantum Sciences > Department of Reasoning for Intelligence

Department of Reasoning for Intelligence

Staff

  • Photo
    Prof.
    T. WASHIO
  • Photo
    Assoc. Prof.
    Y . KAWAHARA
  • Photo
    Assis. Prof.
    S. HARA

Content of research

Under the evolution of information & communication network and sensing technology, large scale data sets are now collected and accumulated in various scientific and social fields. However, because of our cognitive and psychological limit in the information processing capability, we are very poor at extracting useful knowledge from a huge amount of data. Our research focus is on exploring various methods of machine learning from fron large scale data using mathematical constraints and statistical search techniques.

Current Research Programs

  1. 1. Machine Learning from Super High Dimensional Data
  2. 2. Machine Learning\ Based on Discrete Convex Optimization
  3. 3. Measurement Oriented Machine Learning
  4. 4. Learning Causal Structure Based on Causal Process Invariance

Figure / Graph

  • Learning Optimal Sensor Arrangement Using Discrete Convex Optimization
    Learning Optimal Sensor Arrangement Using Discrete Convex Optimization

  • Advanced Sensing Using Meaurement Oriented Macine Learing

VIDEO INTRODUCTION