Hiroshi Kajino
Researcher
Machine learning and data mining
IBM Research
Japan
Biography
Hiroshi Kajino is a researcher at IBM Research - Tokyo. He is mainly working on machine learning and data mining areas. May 2017: A coauthored paper "Bidirectional learning for time-series models with hidden units" goes to ICML-17. Apr 2017: Our paper "A Functional Dynamic Boltzmann Machine" goes to IJCAI-17. Apr 2016: Joined IBM Research - Tokyo as a researcher. Mar 2016: Got PhD degree from the University of Tokyo. Sep 2015: Attend the PhD Forum at Microsoft Research Asia. Aug-Sep 2015: Join the machine learning summer school in Kyoto, and present our work "Active Learning for Multi-relational Data Construction". Jul 2015: Receive a JSAI Annual Conference Award. May 2015: Present our work "Active Learning for Multi-relational Data Construction" in WWW '15, held in Florence, Italy. Hiroshi Kajino is a researcher at IBM Research - Tokyo. He is mainly working on machine learning and data mining areas. May 2017: A coauthored paper "Bidirectional learning for time-series models with hidden units" goes to ICML-17. Apr 2017: Our paper "A Functional Dynamic Boltzmann Machine" goes to IJCAI-17. Apr 2016: Joined IBM Research - Tokyo as a researcher. Mar 2016: Got PhD degree from the University of Tokyo. Sep 2015: Attend the PhD Forum at Microsoft Research Asia. Aug-Sep 2015: Join the machine learning summer school in Kyoto, and present our work "Active Learning for Multi-relational Data Construction". Jul 2015: Receive a JSAI Annual Conference Award. May 2015: Present our work "Active Learning for Multi-relational Data Construction" in WWW '15, held in Florence, Italy.
Research Interest
Machine learning and data mining
