Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Takamichi, Toda"'
Autor:
Shimoyama, Sho, Morimura, Tetsuro, Abe, Kenshi, Takamichi, Toda, Tomomatsu, Yuta, Sugiyama, Masakazu, Hentona, Asahi, Azuma, Yuuki, Ninomiya, Hirotaka
Dialog policies, which determine a system's action based on the current state at each dialog turn, are crucial to the success of the dialog. In recent years, reinforcement learning (RL) has emerged as a promising option for dialog policy learning (DP
Externí odkaz:
http://arxiv.org/abs/2307.06721
Large and acute economic shocks such as the 2007-2009 financial crisis and the current COVID-19 infections rapidly change the economic environment. In such a situation, the importance of real-time economic analysis using alternative datais emerging.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba8bd229785bd3166ef696a5181c0a8a
Publikováno v:
MobiQuitous
In this paper, we propose an approach to improve mobile activity recognition, given a training dataset with inaccurate segments, in which the beginning and ending timestamps of homogeneous and continuous activities have inaccurate boundaries due to h
Publikováno v:
UbiComp Adjunct
We generally use supervised learning when performing activity recognition using mobile sensor devices such as smartphones. In this application, case data associated with the sensor information and type of action is required. However, there is a possi
Autor:
Takamichi Toda, Motoki Miura
Publikováno v:
Scopus-Elsevier
Handwriting is the most fundamental expressive activity in learning. To utilize the intuitiveness and the nature of handwriting, digital pen technology has emerged to capture and transfer notes. We developed AirTransNote, a student note-sharing syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fecae257b4b814eab2cfc33809728233
http://www.scopus.com/inward/record.url?eid=2-s2.0-84912085262&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84912085262&partnerID=MN8TOARS