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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2017-11-24
13:30
Fukuoka   A Web Contents Classification by The Context
Tomomi Sanjo (LIFULL), Akito Sakurai (Keio Univ.) AI2017-11
Nowadays, it is getting popular to find some information on the Internet so that many sites turn to have similar informa... [more] AI2017-11
pp.25-30
HCS 2016-09-14
13:30
Ishikawa Shiinoki Cultural Complex [Poster Presentation] Proposal of a Support System of Conversation in the Real World Using Twitter Information
Kohei Otake (Chuo Univ.), Ryota Sasajima (Keio Univ.), Makoto Oka (Tokyo City Univ.), Akito Sakurai (Keio Univ.) HCS2016-57
In this research, we focused on one of the popular Social Networking Services, Twitter, where the number of users has ra... [more] HCS2016-57
pp.23-28
ICM, LOIS 2016-01-22
10:45
Fukuoka Fukuoka Institute of Technology A research on user classification by market using search queries based on a topic model
Tomomi Sanjo (Next Co., Ltd), Akito Sakurai (Keio Univ.) ICM2015-37 LOIS2015-59
In recent years, recommendation has become popular for many people who use real estate portal sites. Because new apartme... [more] ICM2015-37 LOIS2015-59
pp.63-68
KBSE 2015-09-24
14:35
Osaka Bldg.A No.110, IST, Suita campus, Osaka University A Research on similarity between Railway Stations
Tomomi Sanjo (NEXT Col., Ltd.), Akito Sakurai (Keio University) KBSE2015-30
Recently, real estate portal sites provide recommendation services. The most effective one is thought to be recommendati... [more] KBSE2015-30
pp.13-17
NLC 2015-09-11
10:20
Tokyo Convention Room AP Shibuya-Dogenzaka (Tokyo) A Research of search queries clustering based on Topic Model
Tomomi Sanjo (NEXT Col., Ltd.), Akito Sakurai (Keio University) NLC2015-30
Recently, a number of people who use real estate portal sites are increasing. A user, though, may find difficulty to get... [more] NLC2015-30
pp.63-68
NC 2008-11-07
16:00
Saga Saga Univ. Averaging Naive Bayes Trees
Mori Kurokawa, Hiroyuki Yokoyama (KDDI R&D Labs.), Akito Sakurai (Keio Univ.) NC2008-62
Naive Bayes (NB) is a simplified Bayesian classifier under the conditional independence assumption and Augmented Naive B... [more] NC2008-62
pp.19-24
NC 2006-10-11
16:05
Nara NAIST On Integration of Collaborative and Attribute-based Filtering
Hideki Asoh (AIST), Chihiro Ono (KDDI R&D Labs.), Yoichi Motomura (AIST), Mori Kurokawa, Akito Sakurai (Keio Univ.)
 [more] NC2006-54
pp.55-59
NC 2006-03-15
14:30
Tokyo Tamagawa University Proposal of a Bayesian Network Structure Learning with Modified MDL
Mori Kurokawa, Akito Sakurai (Keio Univ.), Chihiro Ono (KDDI R&D Labs.), Yoichi Motomura, Hideki Asoh (AIST)
Minimum Description Length(MDL) criteria is generally used as model selection criteria for model construction in Bayesia... [more] NC2005-122
pp.97-101
 Results 1 - 8 of 8  /   
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