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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
13:45
Okinawa
(Primary: On-site, Secondary: Online)
[Invited Talk] Speech and Language Research in the Google Tokyo Office
Michiel Bacchiani (Google) EA2022-116 SIP2022-160 SP2022-80
This talk will consist of three parts. In the first part of the talk, I will reflect on some lessons learned from the ac... [more] EA2022-116 SIP2022-160 SP2022-80
pp.239-240
MBE, NC
(Joint)
2022-03-03
14:40
Online Online Designing a Brain Reference Architecture for Double Articulation Analyzer of Spoken Language
Maoko Muro, Akira Taniguchi (Ritsumeikan), Hiroshi Yamakawa (WBAI/UTokyo/RIKEN), Tadahiro Taniguchi (Ritsumeikan) NC2021-64
In human spoken language, words are connected to form a sentence, and words are composed of phonemes or syllables. This ... [more] NC2021-64
pp.94-99
QIT
(2nd)
2021-12-01
15:40
Online Online Assuming the validity of the second law of thermodynamics in general probabilistic theories -- consequences and constraints on models --
Shintaro Minagawa, Hayato Arai, Francesco Buscemi (Nagoya Univ.)
We formulate a modified version of von Neumann's thermodynamic thought experiment with semipermeable membranes in the la... [more]
IBISML 2020-10-21
09:45
Online Online IBISML2020-18 A symbol emergence system is a multi-agent system where each autonomous agent forms internal representations through int... [more] IBISML2020-18
pp.34-35
IA, SITE, IPSJ-IOT [detail] 2019-03-07
16:15
Tokushima Grand XIV Naruto On the possibility of learning the order relation of familial resemblance clusters based on Information theoretic scale -- What is mean by "Defining the rewards of Bayesian inverse reinforcement learning as family resenblence"? --
Tetsuya Morizumi (KU) SITE2018-76 IA2018-68
In this paper, we present an approach to incorporate the viewpoint of <mind> into an artificial intelligent system. To t... [more] SITE2018-76 IA2018-68
pp.133-140
HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] 2018-07-26
12:10
Hokkaido Sapporo Convention Center About Access Control with the Deconstruction Device in Probability Measures on Metric Spaces
Tetsuya Morizumi, Hirotsugu Kinoshita (KU) ISEC2018-36 SITE2018-28 HWS2018-33 ICSS2018-39 EMM2018-35
The word of Socrates: "Not life, but good life, is to be chiefly valued" is the dichotomy between the two, if we see tha... [more] ISEC2018-36 SITE2018-28 HWS2018-33 ICSS2018-39 EMM2018-35
pp.281-287
IA, SITE, IPSJ-IOT [detail] 2018-03-06
12:05
Tochigi Kinugawa Onsen Hotel What is the Ethics of Probabilistic Existence seen from a Logical One
Tetsuya Morizumi (Kanagawa Univ.) SITE2017-76 IA2017-87
In SCIS2018 [14], we criticized the logical approach in the conventional security model and proposed a conceptual model ... [more] SITE2017-76 IA2017-87
pp.213-219
SP 2016-08-24
14:00
Kyoto ACCMS, Kyoto Univ. [Invited Talk] Unsupervised Music Understanding based on Hierarchical Bayesian Acoustic and Language Models
Kazuyoshi Yoshii (Kyoto Univ.) SP2016-29
This paper presents a statistical approach to unsupervised music understanding. Our goal is to estimate musical notes fr... [more] SP2016-29
pp.13-18
DE 2012-08-02
10:30
Aichi Nagoya University Query Processing over Probabilistic Data Streams
Sho Kato (Nagoya Univ), Yoshiharu Ishikawa (Nagoya Univ/NII) DE2012-20
Query prosessing techniques for sensor data have become important, because the sensor data have increased explosively by... [more] DE2012-20
pp.23-28
IT 2010-07-22
10:40
Tokyo Kogakuin University Document Classification by Sub-topic Matching based on Polya Mixture Distribution
Natsumi Ushiama, Gendo Kumoi, Takashi Ishida, Masayuki Goto (Waseda Univ.) IT2010-13
In this research, we propose the methods of document classification based on Polya mixture distribution as a probabilist... [more] IT2010-13
pp.13-18
SP, NLC 2008-12-09
15:10
Tokyo Waseda Univ. Evaluation of annealing schadule for PLSA language model adaptaion
Masaharu Kato, Tetsuo Kosaka (Yamagata Univ.), Akinori Ito, Shozo Makino (Tohoku Univ.) NLC2008-32 SP2008-87
Probabilistic Latent Semantic Analysis (PLSA)
is a powerful statistical language model.
However the PLSA has the loca... [more]
NLC2008-32 SP2008-87
pp.49-53
 Results 1 - 11 of 11  /   
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