Result for "Machine Learning",363

Statistical Machine Learning | NTT Communication Science Laboratories | NTT R&D Website

Statistical Machine Learning | NTT Communication Science Laboratories | NTT R&D Website NTT R&D

https://www.rd.ntt/e/cs/team_project/icl/ls/research_innovative02.html

Estimation of cardiopulmonary exercise testing (CPX) values by machine learning | NTT Communication Science Laboratories | NTT R&D Website

Estimation of cardiopulmonary exercise testing (CPX) values by machine learning | NTT

https://www.rd.ntt/e/cs/team_project/media/biomedical_informatics/research_biomedical_informatics7.html

Ueda Research Laboratory | NTT Communication Science Laboratories | NTT R&D Website

Laboratory Fellow: Naonori Ueda We aim to create new principles of machine learning and innovative

https://www.rd.ntt/e/cs/team_project/uebetsu/

Toshiki Shibahara | NTT Social Informatics Laboratories | NTT R&D Website

Evangelists Security PrincipalToshiki Shibahara Research on cyber attack detection based on machine learning

https://www.rd.ntt/e/sil/overview/evangelist/toshiki_shibahara.html

Applied Research on Machine Learning | NTT Communication Science Laboratories | NTT R&D Website

Applied Research on Machine Learning | NTT Communication Science Laboratories | NTT R&D Website

https://www.rd.ntt/e/cs/team_project/uebetsu/research_applied.html

Photonic reservoir computing : Optics makes a machine learning much faster | NTT Device Technology Laboratories | NTT R&D Website

Photonic reservoir computing : Optics makes a machine learning much faster | NTT Device Technology

https://www.rd.ntt/e/dtl/technology/pe_product-photonic-reservoir.html

Research3 Yuki K. Wakabayashi

-throughput spectroscopies utilizing machine learning Ferromagnetism above 1000 K in a double perovskite

https://www.rd.ntt/brl/people/wakabayashi.yuki/research4_E.html

posterB_en.pdf

MLC：Machine Learning and Data Science Center Sensor info. Learning latent info. behind the data

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/bigdata1/posterB_en.pdf

Dr.Naonori Ueda | NTT R&D Website

Advanced Intelligence Project. Research subject：Big data analysis & statistical machine learning Visiting

https://www.rd.ntt/e/organization/researcher/fellow/f_003.html

Atsutoshi Kumagai | NTT R&D Website

/center/dept Machine Learning for Knowledge Transfer We aim to develop machine learning algorithms that

https://www.rd.ntt/e/organization/researcher/special/s_056.html

NTT Communication Science Laboratories Open House 2018 Program

Information Science Laboratory Exhibition Program Science of Machine Learning Finding similar voice recordings

https://www.rd.ntt/cs/event/openhouse/2018/program_en.html

poster_en.pdf

framework ～ Jubatus is an online machine learning framework on distributed environments. This is the first

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/4/poster_en.pdf

NTT Communication Science Laboratories Open House 2018

imaging∼ Sadao Hiroya, Human Information Science Laboratory Exhibition Program Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2018/en_simple/index_en.html

Innovative Communication Laboratory | NTT Communication Science Laboratories | NTT R&D Website

translation, machine learning, sensor networks, dialogue interaction, child development, and educational

https://www.rd.ntt/e/cs/team_project/icl/

NTT Communication Science Laboratories Open House 2016

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/7/index_en.html

スライド 1

between sound and the ear and the brain with a help of machine learning technique based on which current

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/24/poster_en_24.pdf

NTT Communication Science Laboratories Open House 2018

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/6/index_en.html

Automated Data Analysis "RakuDA" | NTT Software Innovation Center | NTT R&D Website

research area of distributed data processing platform SE project includes deep learning and machine

https://www.rd.ntt/e/sic/team_researchers/team/250.html

Research Yuki K. Wakabayashi

-throughput spectroscopies utilizing machine learning Ferromagnetism above 1000 K in a double perovskite

https://www.rd.ntt/brl/people/wakabayashi.yuki/research_E.html

Research3 Yuki K. Wakabayashi

-throughput spectroscopies utilizing machine learning Ferromagnetism above 1000 K in a double perovskite

https://www.rd.ntt/brl/people/wakabayashi.yuki/research6_E.html

NTT Communication Science Laboratories Open House 2015

analysis for IoT bigdata - Naonori Ueda, Machine Learning and Data Science Center Abstract By improving the

https://www.rd.ntt/cs/event/openhouse/2015/talk/research1/index_en.html

poster_en13.pdf

accurate multilingual analysis based on a state of the art machine learning technique and (2) reordering

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media1/poster_en13.pdf

Main Topics | NTT Communication Science Laboratories | NTT R&D Website

Methods Data and Machine Learning Machine Translation Natural Language Processing Algorithms for Discrete

https://www.rd.ntt/e/cs/research_topic/

NTT Communication Science Laboratories Open House 2015

research in machine learning, but so far, as implied by the term ‘big data’ itself, the amount of input

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/3/index_en.html

NTT Communication Science Laboratories Open House 2013 Challenges with big data - Recent big data analysis at NTT Laboratories -

society. To make full use of machine learning, parallel distributed processing, and database techniques

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/bigdata1/index_en.html

スライド 1

, which was developed for telecom applications. The photonic ANN has a potential to make machine learning

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/6/poster_en_6.pdf

Yasuhiro Fujiwara | NTT R&D Website

belonging to the lab/center/dept Efficient algorithms for machine learning We aim to realize data analysis

https://www.rd.ntt/e/organization/researcher/special/s_052.html

Environmental Sensing | NTT Communication Science Laboratories | NTT R&D Website

how to add label data to collected data, so that they can be used as data for machine learning. For

https://www.rd.ntt/e/cs/team_project/icl/ir/research_innovative01.html

SHIOZU, Akihiro

Telecommunication traffic / quality prediction, network control, computer simulation, machine learning Publication

https://www.rd.ntt/e/ns/qos/person/shiozu/

0143.pdf

component analysis on the basis of Helmholtz machine, which is an unsupervised learning machine. The

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0143.pdf

NTT Communication Science Laboratories Open House 2019

Download Contact Home / Program / Exhibition Program Exhibition Program Science of Machine Learning 05

https://www.rd.ntt/cs/event/openhouse/2019/exhibition5/index_en.html

NTT Communication Science Laboratories Open House 2019

Download Contact Home / Program / Exhibition Program Exhibition Program Science of Machine Learning 04

https://www.rd.ntt/cs/event/openhouse/2019/exhibition4/index_en.html

NTT Communication Science Laboratories Open House 2018

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/2/index_en.html

NTT Communication Science Laboratories Open House 2014 Smarter and instant analysis for huge amounts of video - Jubatus, a scalable big data real-time analysis framework -

analysis framework - Abstract Jubatus is an online machine learning framework on distributed environments

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/4/index_en.html

Method Yuki K. Wakabayashi

) Machine learning assisted molecular beam epitaxy (ML-MBE) Physical properties evaluation Synchrotron We

https://www.rd.ntt/brl/people/wakabayashi.yuki/method_E.html

Zero-shot knowledge distillation| NTT Communication Science Laboratories | NTT R&D Website

processing and the machine learning infrastructure that supports it. Publications Kimura, Ghahramani

https://www.rd.ntt/e/cs/team_project/media/recognition/research_media18.html

poster_en.pdf

because both machine learning and domain- specific knowledge are required. We propose an automatic model

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/1/poster_en.pdf

NTT Communication Science Laboratories Open House 2018

Program 24 Understanding human hearing with AI Analyzing auditory neural mechanisms with machine learning

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/24/index_en.html

Research3 Yuki K. Wakabayashi

-throughput spectroscopies utilizing machine learning Ferromagnetism above 1000 K in a double perovskite

https://www.rd.ntt/brl/people/wakabayashi.yuki/research5_E.html

Research3 Yuki K. Wakabayashi

-throughput spectroscopies utilizing machine learning Ferromagnetism above 1000 K in a double perovskite

https://www.rd.ntt/brl/people/wakabayashi.yuki/research3_E.html

Research2 Yuki K. Wakabayashi

-throughput spectroscopies utilizing machine learning Ferromagnetism above 1000 K in a double perovskite

https://www.rd.ntt/brl/people/wakabayashi.yuki/research2_E.html

Basic Research on Machine Learning | NTT Communication Science Laboratories | NTT R&D Website

Basic Research on Machine Learning | NTT Communication Science Laboratories | NTT R&D Website NTT

https://www.rd.ntt/e/cs/team_project/uebetsu/research_basic.html

Natural Language Analyses | NTT Communication Science Laboratories | NTT R&D Website

analysis We are working on machine learning algorithms and large-scale semantic databases for accurate

https://www.rd.ntt/e/cs/team_project/icl/lirg/innovative/research_innovative04.html

スライド 1

function: sigsoftmax Deep learning is used in a lot of applications. (e.g., image recognition or machine

https://www.rd.ntt/cs/event/openhouse/2019/download/04_a_en.pdf

Publication Yuki K. Wakabayashi

. Saitoh, H. Yamagami, M. Tanaka, and A. Fujimori Physical Review B?101, 075204 (2020). Machine-learning

https://www.rd.ntt/brl/people/wakabayashi.yuki/publication_E.html

News | Ueda Research Laboratory｜NTT Communication Science Laboratories | NTT R&D Website

Communication Engineers for "Pioneering Study on Statistical Machine Learning." 06/2016 Our paper, “Polynomial

https://www.rd.ntt/e/cs/team_project/uebetsu/news/

NTT Communication Science Laboratories Open House 2016

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/6/index_en.html

WATANABE, Akio

management by machine learning technologies. He is a member of the Institute of Electronics, Information and

https://www.rd.ntt/e/ns/qos/person/a_watanabe/

スライド 1

. Fujino, N. Ueda, “Convex Factorization Machines,” in Proc. European Conference on Machine Learning and

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/2/poster_en_2.pdf

知能創発環境研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

on Machine Learning Research (TMLR)に採録されました. 2025/2/17 Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa

https://www.rd.ntt/cs/team_project/icl/ls/

NTT Communication Science Laboratories Open House 2014 Optimizing network operation through NW data analytics - Inferring latent network status through machine learning -

data analytics - Inferring latent network status through machine learning - 日本語 English Home Greeting

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/5/index_en.html

NTT Communication Science Laboratories Open House 2020

Exhibition Download Contact Home / Exhibition Program Exhibition Program Science of Machine Learning 01

https://www.rd.ntt/cs/event/openhouse/2020/exhibition1/index_en.html

Learning and Intelligent Systems Research Group | NTT Communication Science Laboratories | NTT R&D Website

Tomoharu Iwata Research Index Statistical Machine Learning Educational Support Publications 2025 2024 2023

https://www.rd.ntt/e/cs/team_project/icl/ls/

Reliable and Distributed Media Processing Technology based on Secured Sparse Coding｜NTT R&D Website

machine learning technique, which enables sparse modeling directly on encrypted data. In this way, when we

https://www.rd.ntt/e/research/NI0061.html

NTT Communication Science Laboratories Open House 2013 How can we overcome language barriers? - Statistical machine translation from foreign languages to Japanese -

art machine learning technique and (2) reordering foreign words into Japanese word order, based on the

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/media1/index_en.html

G09-05-e.pdf

timely interventions. • Applying NTT's machine-learning and image- processing technologies to cutting

https://www.rd.ntt/forum/2024/doc/G09-05-e.pdf

NTT Communication Science Laboratories Open House 2016

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/3/index_en.html

Sekitoshi Kanai | NTT Software Innovation Center | NTT R&D Website

Project Researcher (As of November 2018) Making the current deep learning with AI faster, easier and safer

https://www.rd.ntt/e/sic/team_researchers/researcher/249.html

NTT Communication Science Laboratories Open House 2017

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/2/index_en.html

NTT Communication Science Laboratories Open House 2017

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/5/index_en.html

スライド 1

city from obtained data. We propose a machine learning method that discovers latent patterns of spatial

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/2/poster_en_2.pdf

NTT Communication Science Laboratories Open House 2020 Exhibition

Exhibition Program Science of Machine Learning People of the WWW, give us your computation each! Generating

https://www.rd.ntt/cs/event/openhouse/2020/exhibition_en.html

上田 修功 | NTT R&D Website

Conference on Machine Learning (ICML), 2023-現在. 情報処理学会(IPSJ）副会長, 2021年6月-2023年5月. Program Committee, Asian

https://www.rd.ntt/organization/researcher/fellow/f_003.html

NTT Communication Science Laboratories Open House 2018

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/4/index_en.html

TAKASAKI, Chikako

, traffic analysis, traffic modeling, machine learning, and reinforcement learning. Publication [Peer

https://www.rd.ntt/e/ns/qos/person/takasaki/

Demonstration of a novel scheme to generate chaotic signals using a MEMS oscillator｜NTT Basic Research Laboratories | NTT R&D Website

signal processing technology such as machine learning - NTT Basic Research Laboratories (NTT-BRL) and

https://www.rd.ntt/e/brl/latesttopics/2020/10/latest_topics_202010241444.html

NTT Communication Science Laboratories Open House 2013 Smarter instant analysis of “Current” with big data - Streaming analysis with distributed online machine learning -

big data - Streaming analysis with distributed online machine learning - 日本語 English Home Greeting

https://www.rd.ntt/cs/event/openhouse/2013/exhibition/bigdata3/index_en.html

スライド 1

Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/2/poster2.pdf

NTT Communication Science Laboratories Open House 2013 Program

data - Streaming analysis with distributed online machine learning - Efficient graph mining techniques

https://www.rd.ntt/cs/event/openhouse/2013/program_en.html

poster_en.pdf

Process,” in Proc. International Conference on Machine Learning, 2014. . We address the problem of

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/3/poster_en.pdf

G07-04-j.pdf

RESEARCH γ07-04 • • • https://ntt-research.com/2024-upgrade-reality-machine-learning-and-photonics

https://www.rd.ntt/forum/2024/doc/G07-04-j.pdf

NTT Communication Science Laboratories Open House 2017 Program

Takashi G. Sato, Moriya Research Laboratory Exhibition Program Science of Machine Learning Smart city

https://www.rd.ntt/cs/event/openhouse/2017/program_en.html

NTT Communication Science Laboratories Open House 2016 Program

Laboratory / Media Intelligence Laboratories Exhibition Program Science of Machine Learning Learning from a

https://www.rd.ntt/cs/event/openhouse/2016/program_en.html

NTT Communication Science Laboratories Open House 2020

Exhibition Download Contact Home / Exhibition Program Exhibition Program Science of Machine Learning 05

https://www.rd.ntt/cs/event/openhouse/2020/exhibition5/index_en.html

poster_en_3.pdf

simulation Our goal: secure & smart mobility of crowds via ICT & machine learning technologies Search for

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/3/poster_en_3.pdf

E26_leaf_e.pdf

. Summary We developed a machine learning method that predicts the probability that a learner will answer a

https://www.rd.ntt/forum/2023/doc/E26_leaf_e.pdf

G07-04-e.pdf

-04 • • • https://ntt-research.com/2024-upgrade-reality-machine-learning-and-photonics/ https://ntt

https://www.rd.ntt/forum/2024/doc/G07-04-e.pdf

NTT Communication Science Laboratories Open House 2016

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/1/index_en.html

Method2 Yuki K. Wakabayashi

) Machine learning assisted molecular beam epitaxy (ML-MBE) Physical properties evaluation Synchrotron We

https://www.rd.ntt/brl/people/wakabayashi.yuki/method2_E.html

NTT Communication Science Laboratories Open House 2019

Download Contact Home / Program / Exhibition Program Exhibition Program Science of Machine Learning 01

https://www.rd.ntt/cs/event/openhouse/2019/exhibition1/index_en.html

poster_en.pdf

,” in Proc. International Conference on Machine Learning (ICML), 2014. We are aiming at establishing a

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/3/poster_en.pdf

SUGIMOTO, Ryoya

Interests Statistical Machine Learning, Uncertainty-aware Optimization, Resilient Infrastructure, Network

https://www.rd.ntt/e/ns/qos/person/sugimoto/

Stage Production for Celebration of Torch Relay × Ultra-realistic Communication Technology Kirari!｜NTT R&D Website

background subtraction and machine learning. With background subtraction, an image without an object is

https://www.rd.ntt/e/research/JN202111_16128.html

poster_en.pdf

factorization machines,” in Proc. European Conference on Machine Learning and Principles and Practice of

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/1/poster_en.pdf

Behavioral technology modeling | NTT R&D Website

approaches such as machine learning, mathematical optimization, and probability theory. The NTT Human

https://www.rd.ntt/e/hil/category/behavior_modeling/

Computational Modeling Research Group | NTT Communication Science Laboratories | NTT R&D Website

Machine Learning Research (PMLR). Li Li, Kohei Yatabe, Hirokazu Kameoka & Shoji Makino (2022). FastMVAE2

https://www.rd.ntt/e/cs/team_project/media/computational_modeling/

Method3 Yuki K. Wakabayashi

) Machine learning assisted molecular beam epitaxy (ML-MBE) Physical properties evaluation Synchrotron We

https://www.rd.ntt/brl/people/wakabayashi.yuki/method3_E.html

NTT Communication Science Laboratories Open House 2018

acoustic signal processing, media processing, natural language processing, and machine learning. In human

https://www.rd.ntt/cs/event/openhouse/2018/talk/director/index_en.html

Video Library | Service Innovation Laboratory Group | NTT R&D Website

with knowledge integration "MediaGnosis" Piper : Machine learning pipeline for traffic analysis

https://www.rd.ntt/e/svlab/video_library/

NTT Communication Science Laboratories Open House 2020

Exhibition Download Contact Home / Exhibition Program Exhibition Program Science of Machine Learning 02

https://www.rd.ntt/cs/event/openhouse/2020/exhibition2/index_en.html

NTT Communication Science Laboratories Open House 2016

Presentations & Exhibits Schedule Access Download Contact Home / Program / Exhibits Science of Machine Learning

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/5/index_en.html

Generalized Domain Adaptation | NTT Communication Science Laboratories | NTT R&D Website

that could not be used for current deep-learning techniques and expand the application areas of machine

https://www.rd.ntt/e/cs/team_project/media/recognition/research_media16.html

スライド 1

. For this problem, we build a novel approach that trains a machine learning model by using various data

https://www.rd.ntt/cs/event/openhouse/2019/download/05_a_en.pdf

ニュース｜上田特別研究室｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

（International Conference on Machine Learning）に 論文「Polynomial Networks and Factorization Machines: New Insights

https://www.rd.ntt/cs/team_project/uebetsu/news/

Latent differentiation inference | NTT Communication Science Laboratories | NTT R&D Website

structure inference is one of the most important topics in machine learning and data mining, especially in

https://www.rd.ntt/e/cs/team_project/media/biomedical_informatics/research_biomedical_informatics10.html

NTT Communication Science Laboratories Open House 2015 Program

IoT bigdata - Naonori Ueda, Machine Learning and Data Science Center 6/5 (Fri) 10:30 - 11:10 What is

https://www.rd.ntt/cs/event/openhouse/2015/program_en.html

事象モデリング研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Autoencoders for Learning General-purpose Audio Representations. Proceedings of Machine Learning Research (PMLR

https://www.rd.ntt/cs/team_project/media/computational_modeling/

poster_en.pdf

Contact Abstract Related works Agile Environmental Sensing Yoshinari Shirai Learning and

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/6/poster_en.pdf

Position under active recruitment: Research and development on environment and socioeconomic nexus forecasting technology｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

linked, study methods for automation and optimization using machine-learning technology, etc., conduct

https://www.rd.ntt/e/se/recruitment/focus08.html

Position under active recruitment:Research and development of energy networks｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

control technology Development experience in data analysis, optimization calculation, and machine learning

https://www.rd.ntt/e/se/recruitment/focus03.html