APRICOT 2017で発表した資料の日本語版
「福岡大学における公開用NTPサービス事例」
English Version
https://www.slideshare.net/apnic/fukuoka-university-public-ntp-service-deployment-use-case
Presentation by Sho FUJIMURA at APRICOT 2017 on Monday, 27 February 2017.
Nonparametric Bayesian Word Discovery for Symbol Emergence in RoboticsTadahiro Taniguchi
This is a material for invited talk in the workshop on Machine Learning Methods for High-
Level Cognitive Capabilities in Robotics 2016 (ML-HLCR2016) held in IROS2016, Korea.
APRICOT 2017で発表した資料の日本語版
「福岡大学における公開用NTPサービス事例」
English Version
https://www.slideshare.net/apnic/fukuoka-university-public-ntp-service-deployment-use-case
Presentation by Sho FUJIMURA at APRICOT 2017 on Monday, 27 February 2017.
Nonparametric Bayesian Word Discovery for Symbol Emergence in RoboticsTadahiro Taniguchi
This is a material for invited talk in the workshop on Machine Learning Methods for High-
Level Cognitive Capabilities in Robotics 2016 (ML-HLCR2016) held in IROS2016, Korea.
Composing graphical models with neural networks for structured representation...Kaede Hayashi
NIPS2016のaccepted paperのMatthew James Johnson, Composing graphical models with neural networks for structured representations and fast inferenceの紹介資料です.@関西NIPS読み会
グラフィカルモデルでの推論(SVI)にVariational Autoencoderを組み合わせることで共役性の制約を無視し,必要な構造だけを残しています.
元論文のURL
https://arxiv.org/abs/1603.06277
大規模データセットでの推論に便利なSVIの概要をまとめました.
SVIは確率的最適化の枠組みで行う変分ベイズ法です.
随時更新してます.
参考文献
[1]Matthew D Hoffman, David M Blei, Chong Wang, and John Paisley. Stochastic variational inference. The Journal of Machine Learning Research, Vol. 14, No. 1, pp. 1303–1347, 2013.
[2] 佐藤一誠. トピックモデルによる統計的意味解析. コロナ社, 2015.
This is a slide for the invited talk at The 4th Workshop on Naturalistic Driving Data Analytics,
IEEE IV2017, Los Angeles, 11th June, 2017.
This talk summarizes a series of work on a symbolization approach toward naturalistic driving behavior data.
Most of the works are conducted by collaboration between DESNO co. and Ritsumeikan university
Symbol Emergence in Robotics: Language Acquisition via Real-world Sensorimoto...Tadahiro Taniguchi
Invited talk at Gatsby-Kakenhi Joint Workshop on AI and Neuroscience, London, 12th May, 2017
This talk is delivered as a part of the session about artificial general intelligence.
Symbol emergence in robotics can be regarded as a research activity contributing to develop an AGI.