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NEC’s AI (Artificial Intelligence) Research

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Recent Publication

  • 2017/09/15Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin, Scalable Model Selection for Belief Networks, Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), 2017
  • 2017/09/15Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation, Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), 2017
  • 2017/08/29Masafumi Oyamada, Shinji Nakadai, Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data, IEEE International Conference on Data Mining (ICDM), 2017
  • 2016/11/29Daniel Andrade, Bing Bai, Ramkumar Rajendran and Yotaro Watanabe. Analogy-based Reasoning with Memory Networks for Future Prediction. In Proceedings of the Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches (CoCo) at NIPS 2016, Barcelona, Spain, 2016.
  • 2016/08/24Ito and Fujimaki, Large-scale Price Optimization via Network Flow, Annual Conference on Neural Information Processing Systems (NIPS), 2016.
  • 2016/05/12Masato Asahara, Ryohei Fujimaki, "Distributed Heterogeneous Mixture Learning On Spark", Spark Summit 2016.
  • 2016/05/12Masato Asahara, Ryohei Fujimaki, "Big Data Heterogeneous Mixture Learning on Spark", Hadoop Summit San Jose, 2016.
  • 2016/05/12Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu, "Online Feature Selection: A Limited-Memory Substitution Algorithm and its Asynchronous Parallel Variation", Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
  • 2015/08/10Jialei Wang, Ryohei Fujimaki, Yosuke Motohashi, “Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models”, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015

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