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Journal Articles
- 2022
[j25]Hideaki Ishibashi
, Shotaro Akaho:
Principal Component Analysis for Gaussian Process Posteriors. Neural Comput. 34(5): 1189-1219 (2022)- [j24]Kazuya Takabatake, Shotaro Akaho:
Full-Span Log-Linear Model and Fast Learning Algorithm. Neural Comput. 34(6): 1398-1424 (2022) - [j23]Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata:
Detecting cell assemblies by NMF-based clustering from calcium imaging data. Neural Networks 149: 29-39 (2022) - 2021
- [j22]Yujie Li, Benying Tan, Shotaro Akaho, Hideki Asoh, Shuxue Ding:
Gaze prediction for first-person videos based on inverse non-negative sparse coding with determinant sparse measure. J. Vis. Commun. Image Represent. 81: 103367 (2021) - [j21]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks. Neural Comput. 33(8): 2274-2307 (2021) - 2019
- [j20]Yujie Li, Shotaro Akaho, Hideki Asoh, Benying Tan:
Supervised Saliency Mapping for First-Person Videos With an Inverse Sparse Coding Framework. IEEE Access 7: 12547-12556 (2019) - 2018
- [j19]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Model-based and actual independence for fairness-aware classification. Data Min. Knowl. Discov. 32(1): 258-286 (2018) - [j18]Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki:
EEG dipole source localization with information criteria for multiple particle filters. Neural Networks 108: 68-82 (2018) - [j17]Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
Estimation of neural connections from partially observed neural spikes. Neural Networks 108: 172-191 (2018) - 2017
- [j16]Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata:
Local Intrinsic Dimension Estimation by Generalized Linear Modeling. Neural Comput. 29(7): 1838-1878 (2017) - 2016
- [j15]Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Nonparametric e-Mixture Estimation. Neural Comput. 28(12): 2687-2725 (2016) - 2015
- [j14]Takamitsu Araki, Kazushi Ikeda, Shotaro Akaho:
An efficient sampling algorithm with adaptations for Bayesian variable selection. Neural Networks 61: 22-31 (2015) - 2014
- [j13]Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
Intrinsic Graph Structure Estimation Using Graph Laplacian. Neural Comput. 26(7): 1455-1483 (2014) - 2010
- [j12]Yukito Iba, Shotaro Akaho:
Gaussian Process Regression with Measurement Error. IEICE Trans. Inf. Syst. 93-D(10): 2680-2689 (2010) - [j11]Narihisa Matsumoto, Shotaro Akaho, Yasuko Sugase-Miyamoto, Masato Okada:
Visualization of multi-neuron activity by simultaneous optimization of clustering and dimension reduction. Neural Networks 23(6): 743-751 (2010) - 2009
- [j10]Kazuho Watanabe, Shotaro Akaho, Shinichiro Omachi, Masato Okada:
Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions. IEEE Trans. Neural Networks 20(11): 1783-1796 (2009) - 2007
- [j9]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Knowledge worker intranet behaviour and usability. Int. J. Bus. Intell. Data Min. 2(4): 447-470 (2007) - 2006
- [j8]Toshihiro Kamishima, Shotaro Akaho:
Supervised ordering by regression combined with Thurstone's model. Artif. Intell. Rev. 25(3): 231-246 (2006) - 2005
- [j7]Yasunori Nishimori, Shotaro Akaho:
Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold. Neurocomputing 67: 106-135 (2005) - 2004
- [j6]Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller:
Asymptotic Properties of the Fisher Kernel. Neural Comput. 16(1): 115-137 (2004) - [j5]Shotaro Akaho:
SVM that maximizes the margin in the input space. Syst. Comput. Jpn. 35(14): 78-86 (2004) - 2003
- [j4]Koji Tsuda, Shotaro Akaho, Kiyoshi Asai:
The em Algorithm for Kernel Matrix Completion with Auxiliary Data. J. Mach. Learn. Res. 4: 67-81 (2003) - 2002
- [j3]Shotaro Akaho:
Conditionally independent component analysis for supervised feature extraction. Neurocomputing 49(1-4): 139-150 (2002) - 2000
- [j2]Shotaro Akaho, Hilbert J. Kappen:
Nonmonotonic Generalization Bias of Gaussian Mixture Models. Neural Comput. 12(6): 1411-1427 (2000) - 1996
- [j1]Takio Kurita, Hideki Asoh, Shinji Umeyama, Shotaro Akaho, Akitaka Hosomi:
Influence of noises added to hidden units on learning of multilayer perceptrons and structurization of networks. Syst. Comput. Jpn. 27(11): 64-73 (1996)
Conference and Workshop Papers
- 2024
- [c86]Lincon S. Souza, Takumi Kobayashi, Yasunori Nishimori, Yasuko Sugase-Miyamoto, Kenji Kawano, Shotaro Akaho, Narihisa Matsumoto:
Local Distance Correlation Embedding for Time-Series Analysis on Riemannian Manifolds. ICASSP 2024: 5025-5029 - 2022
- [c85]Ryo Karakida, Shotaro Akaho:
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting. ICLR 2022 - 2021
- [c84]Toshihiro Kamishima, Shotaro Akaho, Yukino Baba, Hisashi Kashima:
Preliminary Experiments to Examine the Stability of Bias-Aware Techniques. BIAS 2021: 25-35 - 2019
- [c83]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. AISTATS 2019: 1032-1041 - [c82]Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Retrieved Image Refinement by Bootstrap Outlier Test. CAIP (1) 2019: 505-517 - [c81]Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata:
Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. ICANN (1) 2019: 102-113 - [c80]Benying Tan, Xiang Li, Shuxue Ding, Yujie Li, Shotaro Akaho, Hideki Asoh:
A Novel Maximum-Likelihood Detection for the Binary MIMO System Using DC Programming. iCAST 2019: 1-6 - [c79]Shotaro Akaho, Hideitsu Hino, Noboru Murata:
On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. ICONIP (5) 2019: 262-272 - [c78]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks. NeurIPS 2019: 6403-6413 - 2018
- [c77]Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata:
Localizing Current Dipoles from EEG Data Using a Birth-Death Process. BIBM 2018: 2645-2651 - [c76]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Recommendation Independence. FAT 2018: 187-201 - [c75]Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata:
Geometrical Formulation of the Nonnegative Matrix Factorization. ICONIP (3) 2018: 525-534 - [c74]Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino:
Information Geometric Perspective of Modal Linear Regression. ICONIP (3) 2018: 535-545 - 2016
- [c73]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Issei Sato:
Model-Based Approaches for Independence-Enhanced Recommendation. ICDM Workshops 2016: 860-867 - [c72]Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata:
Non-parametric e-mixture of Density Functions. ICONIP (2) 2016: 3-10 - [c71]Hideitsu Hino, Shotaro Akaho, Noboru Murata:
An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. ICONIP (2) 2016: 11-19 - 2015
- [c70]Atsunori Kanemura, Gérard Lipowski, Hidehiko Komine, Shotaro Akaho:
Automatic Categorization of Health Indices for Risk Quantification. EUSPN/ICTH 2015: 325-331 - 2014
- [c69]Mizuki Morita, Masanori Shiro, Shotaro Akaho, Hideki Asoh, Toshihiro Kamishima, Eiji Aramaki, Kôiti Hasida, Takahide Kohro:
Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure. AAAI Spring Symposia 2014 - [c68]Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata:
An Algorithm for Directed Graph Estimation. ICANN 2014: 145-152 - [c67]Takamitsu Araki, Hideitsu Hino, Shotaro Akaho:
A Kernel Method to Extract Common Features Based on Mutual Information. ICONIP (2) 2014: 26-34 - [c66]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Correcting Popularity Bias by Enhancing Recommendation Neutrality. RecSys Posters 2014 - 2013
- [c65]Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata:
Pairwise Similarity for Line Extraction from Distorted Images. CAIP (2) 2013: 250-257 - [c64]Jun Fujiki, Shotaro Akaho:
Flexible Hypersurface Fitting with RBF Kernels. CAIP (1) 2013: 286-293 - [c63]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
The Independence of Fairness-Aware Classifiers. ICDM Workshops 2013: 849-858 - [c62]Toshihiro Kamishima, Shotaro Akaho:
Absolute and relative clustering. MultiClust@KDD 2013: 6 - [c61]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Efficiency Improvement of Neutrality-Enhanced Recommendation. Decisions@RecSys 2013: 1-8 - 2012
- [c60]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Considerations on Fairness-Aware Data Mining. ICDM Workshops 2012: 378-385 - [c59]Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata:
Robust Hypersurface Fitting Based on Random Sampling Approximations. ICONIP (3) 2012: 520-527 - [c58]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Fairness-Aware Classifier with Prejudice Remover Regularizer. ECML/PKDD (2) 2012: 35-50 - [c57]Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma:
Enhancement of the Neutrality in Recommendation. Decisions@RecSys 2012: 8-14 - 2011
- [c56]Jun Fujiki, Shotaro Akaho:
Hypersurface Fitting via Jacobian Nonlinear PCA on Riemannian Space. CAIP (1) 2011: 236-243 - [c55]Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata:
Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. CAIP (1) 2011: 278-285 - [c54]Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino. Computer Vision and Image Analysis of Art 2011: 78690F - [c53]Hiromichi Suetani, Shotaro Akaho:
A RANSAC-Based ISOMAP for Filiform Manifolds in Nonlinear Dynamical Systems -An Application to Chaos in a Dripping Faucet-. ICANN (2) 2011: 277-284 - [c52]Shotaro Akaho, Jun Fujiki:
Global convergence of independent component analysis based on semidefinite programming relaxation. ICASSP 2011: 4264-4267 - [c51]Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Calibration of radially symmetric distortion based on linearity in the calibrated image. ICCV Workshops 2011: 288-295 - [c50]Toshihiro Kamishima, Shotaro Akaho, Jun Sakuma:
Fairness-aware Learning through Regularization Approach. ICDM Workshops 2011: 643-650 - [c49]Toshihiro Kamishima, Shotaro Akaho:
Personalized pricing recommender system: multi-stage epsilon-greedy approach. HetRec@RecSys 2011: 57-64 - 2010
- [c48]Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata:
Self-Calibration of Radially Symmetric Distortion by Model Selection. ICPR 2010: 1812-1815 - [c47]Toshihiro Kamishima, Shotaro Akaho:
Nantonac collaborative filtering: a model-based approach. RecSys 2010: 273-276 - 2009
- [c46]Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata:
Calibration of Radially Symmetric Distortion by Fitting Principal Component. CAIP 2009: 149-156 - [c45]Jun Fujiki, Shotaro Akaho:
Curve fitting by Spherical Least Squares on two-dimensional sphere. ICCV Workshops 2009: 250-255 - [c44]Toshihiro Kamishima, Masahiro Hamasaki, Shotaro Akaho:
TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging. ICDM 2009: 219-228 - 2008
- [c43]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Enterprise Web Services and Elements of Human Interactions. BIS 2008: 263-272 - [c42]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Analytics and Management of Collaborative Intranets. CollaborateCom 2008: 623-631 - [c41]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Web Behaviormetric User Profiling Concept. EC-Web 2008: 134-143 - [c40]Shotaro Akaho:
Dimension Reduction for Mixtures of Exponential Families. ICANN (1) 2008: 1-10 - [c39]Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley:
Natural Conjugate Gradient on Complex Flag Manifolds for Complex Independent Subspace Analysis. ICANN (1) 2008: 165-174 - [c38]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Complex User Behavioral Networks at Enterprise Information Systems. ICEIS (5) 2008: 233-239 - [c37]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Browsing Assistance Service for Intranet Information Systems. ICDM 2008: 256-267 - [c36]Shotaro Akaho, Kazuya Takabatake:
Information Geometry of Contrastive Divergence. ITSL 2008: 3-9 - [c35]Kazuho Watanabe, Shotaro Akaho, Masato Okada:
Clustering on a Subspace of Exponential Family Using Variational Bayes Method. ITSL 2008: 10-16 - [c34]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Service Oriented Architecture of Intranet User-Analytics. SWWS 2008: 224-229 - [c33]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Human-Centric Design of Percipient Knowledge Distribution Service. WSKS (1) 2008: 31-40 - 2007
- [c32]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Long Tails and Analysis of Knowledge Worker Intranet Browsing Behavior. BIS 2007: 584-597 - [c31]Shotaro Akaho, Kenji Fukumizu:
Active Learning for Network Estimation. CIBCB 2007: 402-409 - [c30]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Navigation Space Based Intranet Usability Analysis. CIDM 2007: 147-154 - [c29]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Usability Analysis Framework Based on Behavioral Segmentation. EC-Web 2007: 35-45 - [c28]Yasunori Nishimori, Shotaro Akaho, Samer A. Abdallah, Mark D. Plumbley:
Flag Manifolds for Subspace ICA Problems. ICASSP (4) 2007: 1417-1420 - [c27]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Knowledge Extraction, Analysis, and Management of Intranet Serviceability. IKE 2007: 146-152 - [c26]Jun Fujiki, Akihiko Torii, Shotaro Akaho:
Epipolar Geometry Via Rectification of Spherical Images. MIRAGE 2007: 461-471 - [c25]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Long Tail Attributes of Knowledge Worker Intranet Interactions. MLDM 2007: 419-433 - 2006
- [c24]Yasunori Nishimori, Shotaro Akaho, Mark D. Plumbley:
Riemannian Optimization Method on the Flag Manifold for Independent Subspace Analysis. ICA 2006: 295-302 - [c23]Toshihiro Kamishima, Shotaro Akaho:
Efficient Clustering for Orders. ICDM Workshops 2006: 274-278 - [c22]Toshihiro Kamishima, Shotaro Akaho:
Dimension Reduction for Supervised Ordering. ICDM 2006: 330-339 - [c21]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Navigation Space Formalism and Exploration of Knowledge Worker Behavior on Intranet. iiWAS 2006: 163-172 - [c20]Peter Géczy, Shotaro Akaho, Shiro Usui:
Efficient First Order Superlinear Algorithms. AI&M 2006 - [c19]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Extraction and Analysis of Knowledge Worker Activities on Intranet. PAKM 2006: 73-85 - 2005
- [c18]Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
Supervised Ordering - An Empirical Survey. ICDM 2005: 673-676 - 2004
- [c17]Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
Estimating Attributed Central Orders: An Empirical Comparison. ECML 2004: 563-565 - [c16]Jun Fujiki, Shotaro Akaho, Noboru Murata:
Nonlinear PCA/ICA for the Structure from Motion Problem. ICA 2004: 750-757 - [c15]Toshihiro Kamishima, Shotaro Akaho:
Filling-in Missing Objects in Orders. ICDM 2004: 423-426 - 2002
- [c14]Toshihiro Kamishima, Shotaro Akaho:
Learning from Order Examples. ICDM 2002: 645-648 - [c13]Kenji Fukumizu, Shotaro Akaho, Shun-ichi Amari:
Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting. NIPS 2002: 865-872 - 2001
- [c12]Shotaro Akaho:
Conditionally Independent Component Extraction for Naive Bayes Inference. ICANN 2001: 535-540 - 2000
- [c11]Koji Tsuda, Shotaro Akaho:
Large Margin Classifier via Semiparametric Inference. IJCNN (2) 2000: 23-28 - [c10]Takio Kurita, Hiroyuki Shimai, Yasutaka Baba, Taketoshi Mishima, Masaru Tanaka, Shotaro Akaho, Shinji Umeyama:
Gaze control on virtual active vision system with binocular fish-eye lenses. SMC 2000: 1644-1649 - 1999
- [c9]Shotaro Akaho, Yasuhiko Kiuchi, Shinji Umeyama:
MICA: multimodal independent component analysis. IJCNN 1999: 927-932 - 1998
- [c8]Shotaro Akaho, Yoshiyasu Goto, Takio Kurita, Hiroshi Mizoguchi:
Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning. ICONIP 1998: 409-412 - [c7]Shotaro Akaho:
Statistical Learning in Optimization: Gaussian Modeling for Population Search. ICONIP 1998: 675-678 - 1997
- [c6]Hideki Asoh, Satoru Hayamizu, Isao Hara, Yoichi Motomura, Shotaro Akaho, Toshihiro Matsui:
Information Integration of the Office-Conversant Mobile Robot Jijo-2. ICONIP (2) 1997: 758-761 - [c5]Hideki Asoh, Satoru Hayamizu, Isao Hara, Yoichi Motomura, Shotaro Akaho, Toshihiro Matsui:
Socially Embedded Learning of the Office-Conversant Mobil Robot Jijo-2. IJCAI (2) 1997: 880-887 - 1996
- [c4]Hideki Asoh, Yoichi Motomura, Isao Hara, Shotaro Akaho, Satoru Hayamizu, Toshihiro Matsui:
Combining probabilistic map and dialog for robust life-long office navigation. IROS 1996: 807-812 - 1995
- [c3]Shotaro Akaho:
The EM algorithm for multiple object recognition. ICNN 1995: 2426-2431 - 1992
- [c2]Shotaro Akaho:
Regularization Learning of Neural Networks for Generalization. ALT 1992: 99-110 - 1990
- [c1]Shotaro Akaho, Shun-ichi Amari:
On the capacity of three-layer networks. IJCNN 1990: 1-6
Parts in Books or Collections
- 2010
- [p5]Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho:
A Survey and Empirical Comparison of Object Ranking Methods. Preference Learning 2010: 181-201 - [p4]Toshihiro Kamishima, Shotaro Akaho:
Dimension Reduction for Object Ranking. Preference Learning 2010: 203-215 - [p3]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Human-Web Interactions. Emergent Web Intelligence 2010: 199-232 - [p2]Peter Géczy, Noriaki Izumi, Shotaro Akaho, Kôiti Hasida:
Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems. Data Mining 2010: 317-334 - 2009
- [p1]Toshihiro Kamishima, Shotaro Akaho:
Efficient Clustering for Orders. Mining Complex Data 2009: 261-279
Informal and Other Publications
- 2022
- [i13]Kazuya Takabatake, Shotaro Akaho:
Full-Span Log-Linear Model and Fast Learning Algorithm. CoRR abs/2202.08472 (2022) - [i12]Hideitsu Hino, Shotaro Akaho, Noboru Murata:
Geometry of EM and related iterative algorithms. CoRR abs/2209.01301 (2022) - 2021
- [i11]Kazuya Takabatake, Shotaro Akaho:
Reconsidering Dependency Networks from an Information Geometry Perspective. CoRR abs/2107.00871 (2021) - [i10]Hideaki Ishibashi, Shotaro Akaho:
Principal component analysis for Gaussian process posteriors. CoRR abs/2107.07115 (2021) - [i9]Ryo Karakida, Shotaro Akaho:
Learning Curves for Sequential Training of Neural Networks: Self-Knowledge Transfer and Forgetting. CoRR abs/2112.01653 (2021) - 2019
- [i8]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks. CoRR abs/1906.02926 (2019) - [i7]Shotaro Akaho, Hideitsu Hino, Noboru Murata:
On a convergence property of a geometrical algorithm for statistical manifolds. CoRR abs/1909.12644 (2019) - [i6]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Pathological spectra of the Fisher information metric and its variants in deep neural networks. CoRR abs/1910.05992 (2019) - 2018
- [i5]Ryo Karakida, Shotaro Akaho, Shun-ichi Amari:
Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. CoRR abs/1806.01316 (2018) - 2012
- [i4]Kazuya Takabatake, Shotaro Akaho:
Constraint-free Graphical Model with Fast Learning Algorithm. CoRR abs/1206.3721 (2012) - 2006
- [i3]Shotaro Akaho:
A kernel method for canonical correlation analysis. CoRR abs/cs/0609071 (2006) - 2002
- [i2]Shotaro Akaho:
Maximing the Margin in the Input Space. CoRR cs.AI/0211006 (2002) - [i1]Koji Tsuda, Shotaro Akaho, Kiyoshi Asai:
Approximating Incomplete Kernel Matrices by the em Algorithm. CoRR cs.LG/0211007 (2002)
Coauthor Index
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