Nonlinear sparse modeling for high dimensional data by kernel methods

• Project Area: Initiative for High-Dimensional Data-Driven Science through Deepening of Sparse Modeling
• Project/Area Number: 25120011
• Research Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
• Allocation Type: Single-year Grants
• Review Section: Complex systems
• Research Institution: National Institute of Advanced Industrial Science and Technology
• Principal Investigator: Akaho Shotaro 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究グループ長 (40356340)
• Co-Investigator(Kenkyū-buntansha): 麻生 英樹 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 副研究センター長 (10344194) ; 日野 英逸 筑波大学, システム情報系, 准教授 (10580079) ; 末谷 大道 大分大学, 理工学部, 教授 (40507167)
• Project Period (FY): 2013-06-28 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥53,820,000 (Direct Cost: ¥41,400,000、Indirect Cost: ¥12,420,000); Fiscal Year 2017: ¥11,310,000 (Direct Cost: ¥8,700,000、Indirect Cost: ¥2,610,000); Fiscal Year 2016: ¥11,440,000 (Direct Cost: ¥8,800,000、Indirect Cost: ¥2,640,000); Fiscal Year 2015: ¥11,310,000 (Direct Cost: ¥8,700,000、Indirect Cost: ¥2,610,000); Fiscal Year 2014: ¥11,440,000 (Direct Cost: ¥8,800,000、Indirect Cost: ¥2,640,000); Fiscal Year 2013: ¥8,320,000 (Direct Cost: ¥6,400,000、Indirect Cost: ¥1,920,000)
• Keywords: 機械学習 / 多変量時系列 / 時空間モデル / 時空間解析 / 情報幾何 / フラクタル次元 / アルゴリズム / モデル化 / モデリング

Outline of Final Research Achievements

We developed a kernel-based method that extracts common features from multi-modal data based on mutual information. We also developed a transfer learning algorithm that is based on information geometrical e-mixture.
We developed a method to extract mutual relation among multivariate time series such as neuron networks and share-sales data. We applied spatio-temporal data analysis to slow slip event.
We succeeded to extract phase transition phenomena of associative memory neural network model in a data-driven manner.

Research Products

• [Journal Article] Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling (2018)
  • Author(s): Tetsuro Ueno, Hideitsu Hino, Ai Hashimoto, Yasuo Takeichi, Masahiro Sawada, Kanta Ono
  • Journal Title: npj Computational Materials Volume: 4 Issue: 1 Pages: 1-10
  • DOI: 10.1038/s41524-017-0057-4
  • Peer Reviewed / Open Access
• [Journal Article] Geochemcal discrimination and characteristics of magmatic tectonic settings; a machine learning approach (2018)
  • Author(s): K. Ueki, H. Hino, T. Kuwatani
  • Journal Title: Geochemistry,Geophysics,Geosystems Volume: 19 Issue: 4 Pages: 1-21
  • DOI: 10.1029/2017gc007401
  • Peer Reviewed / Open Access
• [Journal Article] Local Intrinsic Dimension Estimation by Generalized Linear Modeling (2017)
  • Author(s): Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata
  • Journal Title: Neural Computation Volume: 29(7) Issue: 7 Pages: 1838-1878
  • DOI: 10.1162/neco_a_00969
  • Peer Reviewed
• [Journal Article] Double sparsity for multi-frame super resolution (2017)
  • Author(s): Toshiyuki Kato, Hideitsu Hino, Noboru Murata
  • Journal Title: Neurouomputing Volume: 240 Pages: 115-126
  • DOI: 10.1016/j.neucom.2017.02.043
  • Peer Reviewed / Open Access
• [Journal Article] Discontinuous boundaries of slow slip events beneath the Bungo Channel, southwest Japan (2017)
  • Author(s): Ryoko Nakata, Hideitsu Hino, Tatsu Kuwatani, Shoichi Yoshioka, Masato Okada, Takane Hori
  • Journal Title: Scientific Reports Volume: 7 Issue: 1 Pages: 6129-6129
  • DOI: 10.1038/s41598-017-06185-0
  • NAID: 120007128835
  • Peer Reviewed / Open Access
• [Journal Article] ider: Intrinsic Dimension Estimation with R (2017)
  • Author(s): H. Hino
  • Journal Title: R Journal Volume: 9 Pages: 329-341
  • Peer Reviewed / Open Access
• [Journal Article] Simultaneous Estimation of the Spatio-Temporal Slip Distribution and Duration of the Slow Slip Event by a Switching Model (2017)
  • Author(s): Takamitsu Araki, Tadafumi Ochi, Norio Matsumoto, Shotaro Akaho
  • Journal Title: Journal of Signal Processing Volume: 21 Issue: 6 Pages: 297-308
  • DOI: 10.2299/jsp.21.297
  • NAID: 130006201549
  • ISSN: 1342-6230, 1880-1013
  • Peer Reviewed / Open Access
• [Journal Article] Progressive evolution of whole-rock composition during metamorphism revealed by multivariate statistical analyses (2017)
  • Author(s): Yoshida Kenta、Kuwatani Tatsu、Hirajima Takao、Iwamori Hikaru、Akaho Shotaro
  • Journal Title: Journal of Metamophic Geology Volume: 36 Issue: 1 Pages: 41-54
  • DOI: 10.1111/jmg.12282
  • NAID: 120006460068
  • Peer Reviewed / Open Access
• [Journal Article] 時間遷移のスパース性―マーケットシェアの遷移を捉えるスパースグラフモデリング (2017)
  • Author(s): 日野英逸
  • Journal Title: 岩波データサイエンス Volume: 5 Pages: 80-90
• [Journal Article] Graph structure modeling for multi-neuronal spike data (2016)
  • Author(s): Shotaro Akaho, Sho Higuchi, Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Noboru Murata
  • Journal Title: Journal of Physics: Conference Series Volume: 699 Pages: 012012-012012
  • DOI: 10.1088/1742-6596/699/1/012012
  • Peer Reviewed / Open Access / Int'l Joint Research / Acknowledgement Compliant
• [Journal Article] Nonparametric e-Mixture Estimation (2016)
  • Author(s): Ken Takaho, Hideitsu Hino, Shotaro Akaho, Noboru Murata
  • Journal Title: Neural Computation Volume: 28 Issue: 12 Pages: 2687-2725
  • DOI: 10.1162/neco_a_00888
  • NAID: 40020676365
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Time-Varying Transition Probability Matrix Estimation and Its Application to Brand Share Analysis (2016)
  • Author(s): Tomoaki Chiba, Hideitsu Hino , Shotaro Akaho, Noboru Murata
  • Journal Title: PLOS ONE Volume: 12 Issue: 1 Pages: 13-13
  • DOI: 10.1371/journal.pone.0169981
  • NAID: 120007135110
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Journal Article] Non-parametric e-mixture of Density Functions (2016)
  • Author(s): Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata
  • Journal Title: Proc of ICONIP (Springer Lecture Notes on Computer Science) Volume: LNCS9948 Pages: 3-10
  • DOI: 10.1007/978-3-319-46672-9_1
  • ISBN: 9783319466712, 9783319466729
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure (2016)
  • Author(s): Hideitsu Hino, Shotaro Akaho, Noboru Murata
  • Journal Title: Proc of ICONIP (Springer Lecture Notes on Computer Science) Volume: LNCS9948 Pages: 11-19
  • DOI: 10.1007/978-3-319-46672-9_2
  • NAID: 40020792494
  • ISBN: 9783319466712, 9783319466729
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] 人工知能とディープラーニング (2016)
  • Author(s): 赤穂昭太郎
  • Journal Title: Clinical Neuroscience Volume: 34 Pages: 866-869
• [Journal Article] Macroscopic reliability of chaos in recurrent neural networks: An approach based on canonical correlation analysis (2016)
  • Author(s): H. Suetani
  • Journal Title: Proceedings of The 21st International Symposium on Artificial Life and Robotics (AROB 2016) Volume: 1 Pages: 545-548
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] An efficient sampling algorithm with adaptations for Bayesian variable selection (2015)
  • Author(s): T. Araki, K. Ikeda, S. Akaho
  • Journal Title: Neural Networks Volume: 61 Pages: 22-31
  • DOI: 10.1016/j.neunet.2014.09.010
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Intrinsic Graph Structure Estimation Using Graph Laplacian (2014)
  • Author(s): A. Noda, H. Hino, M. Tatsuno, S. Akaho, N. Murata
  • Journal Title: Neural Computation Volume: 26 Issue: 7 Pages: 1455-1483
  • DOI: 10.1162/neco_a_00603
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] An Algorithm for Directed Graph Structure Estimation (2014)
  • Author(s): H. Hino, A. Noda, M. Tatsuno, S. Akaho, N. Murata
  • Journal Title: Lecture Notes in Computer Science (Artificial Neural Networks and Machine Learning) Volume: 8681 Pages: 145-152
  • DOI: 10.1007/978-3-319-11179-7_19
  • ISBN: 9783319111780, 9783319111797
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] A kernel method to extract common features based on mutual information (2014)
  • Author(s): T. Araki, H. Hino, S. Akaho
  • Journal Title: Lecture Notes in Computer Science (Neural Information Processing) Volume: 8835 Pages: 26-34
  • DOI: 10.1007/978-3-319-12640-1_4
  • ISBN: 9783319126395, 9783319126401
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Journal Article] Verification of effectiveness of a probabilistic algorithm for latent structure extraction using an associative memory model (2014)
  • Author(s): Kensuke Wakasugi, Tatsu Kuwatani, Kenji Nagata, Hideki Asoh and Masato Okad
  • Journal Title: Journal of the Physical Society of Japan Volume: 83 Issue: 10 Pages: 104801-104801
  • DOI: 10.7566/jpsj.83.104801
  • NAID: 40020226418
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Journal Article] Zero-Shot Learning of Language Models for Describing Human Actions Based on Semantic Compositionality of Actions (2014)
  • Author(s): H. Asoh, I. Kobayashi
  • Journal Title: Proc. of The 28th Pacific Asia Conference on Language, Information and Computing Volume: 1 Pages: 12-14
  • NAID: 120006678080
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Journal Article] 多層ニューラルネットワークによる深層表現の学習 (2013)
  • Author(s): 麻生英樹
  • Journal Title: 人工知能学会誌 Volume: 28 Pages: 649-659
• [Presentation] Estimation of Neural Connections from Multiple Spike Data (2017)
  • Author(s): 赤穂昭太郎，岩崎泰士，日野英逸，龍野正実，村田昇
  • Organizer: 第２７回日本神経回路学会全国大会
• [Presentation] Spatially continuous dynamic factor modeling with basis expansion using L_2 penalized likelihood (2017)
  • Author(s): Takamitsu Araki, Shotaro Akaho
  • Organizer: International Meeting on “High-Dimensional Data-Driven Science” (HD3-2017)
  • Int'l Joint Research
• [Presentation] Dynamic factor modeling with spatially multi-scale structures for spatio-temporal data (2017)
  • Author(s): Takamitsu Araki, Shotaro Akaho
  • Organizer: Statistical Data Science 2017
  • Int'l Joint Research
• [Presentation] 一般化線形モデルによる潜在的局所次元推定 (2017)
  • Author(s): 日野英逸，藤木淳，赤穂昭太郎，村田昇
  • Organizer: 科研費スパースモデリング公開シンポジウム
• [Presentation] Data-driven science for solving problems in geosciences (2017)
  • Author(s): Shotaro Akaho
  • Organizer: JpGU-AGU Joint Meeting 2017
  • Int'l Joint Research / Invited
• [Presentation] 機械学習により検出された累進変成作用下での全岩化学組成の発展的変化 (2017)
  • Author(s): 吉田健太，桑谷立，平島崇男，岩森光，赤穂昭太郎
  • Organizer: JpGU AGU Joint Meeting
• [Presentation] A novel probabilistic framework for estimating of neural connections from partially observed neural spikes (2017)
  • Author(s): Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
  • Organizer: Society for Neuroscience 2017 Annual Meeting
  • Int'l Joint Research
• [Presentation] Echo State Networkによる脳コンシステンシー現象の解析 (2017)
  • Author(s): 末谷大道、北城圭一
  • Organizer: 日本物理学会第72回年次大会
  • Place of Presentation: 大阪大学（大阪府豊中市）
• [Presentation] 生体分子の分子シミュレーションから反応座標をどう抜き出すか? (2017)
  • Author(s): 藤崎弘士、 末谷大道、光武亜代理
  • Organizer: 日本物理学会第72回年次大会
  • Place of Presentation: 大阪大学（大阪府豊中市）
• [Presentation] 神経ネットワーク系におけるノイズに対する集団的な再現性 について (2016)
  • Author(s): 末谷大道
  • Organizer: 日本物理学会第71回年次大会
  • Place of Presentation: 東北学院大学（宮城県仙台市）
  • Year and Date: 2016-03-19
• [Presentation] A Projection Algorithm Based on the Pythagorian Theorem and its Applications (2016)
  • Author(s): Shotaro Akaho, Hideitsu Hino, Neneka Nara, Ken Takano, Noboru Murata
  • Organizer: Information Geometry and its Applications IV (IGAIA IV)
  • Place of Presentation: Liblice castle, Liblice (チェコ)
  • Int'l Joint Research
• [Presentation] Non-parametric e-mSparse spatial dynamic factor model with basis expansion (2016)
  • Author(s): Hideitsu Hino, Ken Takamitsu Araki, Shotaro Akaho
  • Organizer: The Joint Statistical Meeting
  • Place of Presentation: McCormick Place, Chicago (米国)
  • Int'l Joint Research
• [Presentation] 重回帰を用いた高次局所潜在的次元推定 (2016)
  • Author(s): 日野英逸、赤穂昭太郎、藤木淳、村田昇
  • Organizer: 電子情報通信学会IBISML研究会
  • Place of Presentation: 富山大学（富山県富山市）
• [Presentation] 部分観測されたスパイクからの神経細胞間の結合推定 (2016)
  • Author(s): 岩崎泰士、日野英逸、龍野正実、赤穂昭太郎、村田 昇
  • Organizer: 電子情報通信学会NC研究会
  • Place of Presentation: 東北大学（宮城県仙台市）
• [Presentation] Macroscopic reliability of high-dimensional chaos in recurrent neural Networks (2016)
  • Author(s): Hiromichi Suetani
  • Organizer: XXXVI Dynamics Days Europe
  • Place of Presentation: Corfu Holiday Palace Hotel, Corfu (ギリシャ)
  • Int'l Joint Research
• [Presentation] Generation of coherent patterns and chaotic itinerancy in random recurrent neural networks based on FORCE-learning (2016)
  • Author(s): Hiromichi Suetani
  • Organizer: International Conference on Control of Complex Systems and Networks 2016
  • Place of Presentation: Hotel Steigenberger Grandhotel and Spa, Heringsdorf(ドイツ)
  • Int'l Joint Research
• [Presentation] Discovering consistency in human brain activities with noisy visual inputs using reservoir kernel machines (2016)
  • Author(s): Hiromichi Suetani Yuko Mizuno and Keiichi Kitajo
  • Organizer: The 46th Annual Meeting of Society for Neuroscience
  • Place of Presentation: San Diego Convention Center, San Diego (米国)
  • Int'l Joint Research
• [Presentation] Individual differences in noise-induced human brain dynamics (2016)
  • Author(s): Keiichi Kitajo, Takumi Sase, Yoko Mizuno, Hiromichi Suetani
  • Organizer: The 46th Annual Meeting of Society for Neuroscience
  • Place of Presentation: San Diego Convention Center, San Diego (米国)
  • Int'l Joint Research
• [Presentation] Chaotic itinerancy in multiple patterns generation using FORCE-based neural network learning (2016)
  • Author(s): Hiromichi Suetani
  • Organizer: Dynamics Days Asia-Pacific 9
  • Place of Presentation: Hong Kong Baptist University, 香港（中国）
  • Int'l Joint Research
• [Presentation] Consistency and individuality of human brain responses to noisy visual inputs (2016)
  • Author(s): Keiichi Kitajo, Takumi Sase, Yoko Mizuno, Hiromichi Suetani
  • Organizer: 第39回日本神経科学大会
  • Place of Presentation: パシフィコ横浜 （神奈川県横浜市）
• [Presentation] ランダム神経回路網によるカオス力学系の学習と一般化同期 (2016)
  • Author(s): 末谷大道
  • Organizer: 日本物理学会2016年秋季大会
  • Place of Presentation: 金沢大学 (石川県金沢市)
• [Presentation] echo state networkによる粒子フィルタの構成とカオス力学系への応用 (2016)
  • Author(s): 末谷大道、高見利也
  • Organizer: 日本物理学会2016年秋季大会
  • Place of Presentation: 金沢大学 (石川県金沢市)
• [Presentation] Graph structure modeling for multi-neuronal spike data (2015)
  • Author(s): 赤穗 昭太郎，樋口 翔，岩崎 泰士，日野 英逸，村田 昇
  • Organizer: International Meeting on High-Dimensional Data Driven Science (HD3-2015)
  • Place of Presentation: メルパルク京都（京都府京都市）
  • Year and Date: 2015-12-16
  • Int'l Joint Research
• [Presentation] Simultaneous estimation of spatio-temporal distribution and duration of slow slip event by switching model (2015)
  • Author(s): 荒木 貴光，落 唯史，松本 則夫，赤穗 昭太郎
  • Organizer: International Meeting on High-Dimensional Data Driven Science (HD3-2015)
  • Place of Presentation: メルパルク京都（京都府京都市）
  • Year and Date: 2015-12-16
  • Int'l Joint Research
• [Presentation] 非負値行列分解の情報幾何 (2015)
  • Author(s): 奈良寧々花，高野健，日野英逸，赤穂昭太郎，村田昇
  • Organizer: 情報論的学習理論ワークショップ
  • Place of Presentation: つくば国際会議場（茨城県つくば市）
  • Year and Date: 2015-11-15
• [Presentation] ノンパラメトリックモデルのe混合推定とその応用 (2015)
  • Author(s): 高野健，日野英逸，赤穂昭太郎，村田昇
  • Organizer: 情報論的学習理論ワークショップ
  • Place of Presentation: つくば国際会議場（茨城県つくば市）
  • Year and Date: 2015-11-15
• [Presentation] ガウス核を用いた柔軟な超曲面あてはめに向けて (2015)
  • Author(s): 藤木 淳，赤穗 昭太郎
  • Organizer: 情報論的学習理論ワークショップ
  • Place of Presentation: つくば国際会議場（茨城県つくば市）
  • Year and Date: 2015-11-15
• [Presentation] 能力テスト得点の非負行列分解 (2015)
  • Author(s): 兼村 厚範，大成 弘子，鹿内 学，橋本 将崇，赤穗 昭太郎
  • Organizer: 情報論的学習理論ワークショップ
  • Place of Presentation: つくば国際会議場（茨城県つくば市）
  • Year and Date: 2015-11-15
• [Presentation] Reliability at a macroscopic level in recurrent neural networks: An approach based on canonical correlation analysis (2015)
  • Author(s): H. Suetani
  • Organizer: The 45th Annual Meeting of Society for Neuroscience
  • Place of Presentation: Chicago, USA
  • Year and Date: 2015-10-17
  • Int'l Joint Research
• [Presentation] Robust estimation of spatio-temporal distribution of slow slip event by switching model (2015)
  • Author(s): T. Araki, T. Ochi, N. Matsumoto, S. Akaho
  • Organizer: Spatial Statistics 2015
  • Place of Presentation: Avignon, France
  • Year and Date: 2015-06-12
  • Int'l Joint Research
• [Presentation] スロースリップイベント時空間分布のスウィッチングモデルによるロバストな推定 (2015)
  • Author(s): 荒木 貴光，落 唯史，松本 則夫，赤穗 昭太郎
  • Organizer: 日本地球惑星科学連合2015年大会
  • Place of Presentation: 幕張メッセ（千葉県千葉市）
  • Year and Date: 2015-05-27
• [Presentation] Manifold Learning Approach for Modelling Collective Chaos in High-Dimensional Dynamical Systems (2015)
  • Author(s): H. Suetani
  • Organizer: SIAM Conference on Applications of Dynamical Systems
  • Place of Presentation: Snowbird, USA
  • Year and Date: 2015-05-17
  • Int'l Joint Research
• [Presentation] 大自由度カオス力学系における集団現象へのデータ駆動型アプローチ (2015)
  • Author(s): 末谷大道
  • Organizer: 日本物理学会第７０回年次大会
  • Place of Presentation: 早稲田大学，東京
  • Year and Date: 2015-03-21 – 2015-03-24
• [Presentation] 対数線形モデル高速学習のための基底関数 (2014)
  • Author(s): 高畠一哉，赤穂昭太郎
  • Organizer: 情報論的学習理論ワークショップ
  • Place of Presentation: 名古屋大学，名古屋市
  • Year and Date: 2014-11-18
• [Presentation] Canonical correlation analysis for collective activities of recurrent neural networks in reaching movement generation based on force-learning (2014)
  • Author(s): H. Suetani
  • Organizer: Neuroscience 2014
  • Place of Presentation: WALTER E. WASHINGTON CONVENTION CENTER, Washington D.C., US
  • Year and Date: 2014-11-16
• [Presentation] Weak sensitivity to initial conditions for generating temporal patterns in recurrent neural networks: A reservoir computing approach (2014)
  • Author(s): H. Suetani
  • Organizer: Interdisciplinary Symposium on Complex Systems
  • Place of Presentation: University of Florence, Florence, Italy
  • Year and Date: 2014-09-15
• [Presentation] “Weak” Chaos for Generating Temporal Patterns in Recurrent Neural Networks: A Reservoir-computing Approach (2014)
  • Author(s): H. Suetani
  • Organizer: XXXIV Dynamics Days Europe
  • Place of Presentation: The University of Bayreuth, Bayreuth, Germany
  • Year and Date: 2014-09-08
• [Presentation] トピックの組み合わせ構造を利用した言語モデルの転移学習 (2014)
  • Author(s): 麻生英樹，小林瑞季，小林一郎
  • Organizer: 人工知能学会全国大会
  • Place of Presentation: ひめぎんホール，松山市
  • Year and Date: 2014-05-13
• [Presentation] 連想記憶モデルによる確率的潜在構造抽出アルゴリズムの有効性検証 (2014)
  • Author(s): 若杉健介、桑谷立、永田賢二、麻生英樹、岡田真人
  • Organizer: 日本物理学会第６９回年次大会
  • Place of Presentation: 神奈川県平塚市
  • Year and Date: 2014-03-28
• [Presentation] On the robust nonlinear curve fitting (2014)
  • Author(s): S. Akaho
  • Organizer: Workshop on Mathematical Approaches to Large-Dimensional Data Analysis
  • Place of Presentation: 東京都立川市
  • Year and Date: 2014-03-14
  • Invited
• [Presentation] 連想記憶モデルを用いた確率的潜在構造抽出アルゴリズムの有効性の検証 (2013)
  • Author(s): 若杉健介、桑谷立、永田賢二、麻生英樹、岡田真人
  • Organizer: 電子情報通信学会ニューロコンピューティング研究会
  • Place of Presentation: 宮城県仙台市
  • Year and Date: 2013-11-22
• [Presentation] Deep Learning と内部表現の学習 (2013)
  • Author(s): 麻生英樹
  • Organizer: 計測自動制御学会システム・情報部門学術講演会
  • Place of Presentation: 滋賀県大津市
  • Year and Date: 2013-11-18
  • Invited
• [Presentation] 階層構造を持つ連想記憶モデルの構造発見へのデータ駆動型アプローチ (2013)
  • Author(s): 若杉健介、桑谷立、永田賢二、麻生英樹、岡田真人
  • Organizer: FIT2013 第１２回情報科学技術フォーラム
  • Place of Presentation: 鳥取県鳥取市
  • Year and Date: 2013-09-06
• [Presentation] 経験と対話からの言語記号の創発 (2013)
  • Author(s): 麻生英樹
  • Organizer: 日本ロボット学会学術講演会
  • Place of Presentation: 東京都八王子市
  • Year and Date: 2013-09-05
  • Invited
• [Presentation] 機械学習におけるコストをめぐる話題 (2013)
  • Author(s): 赤穂昭太郎
  • Organizer: 電子情報通信学会 IBISML/PRMU 情報処理学会 CVIM 合同研究会
  • Place of Presentation: 鳥取県鳥取市
  • Year and Date: 2013-09-02
  • Invited