Dominic Dayta, Takatomi Kubo, Kazushi Ikeda (2025): Variance control for black box variational inference using the James-Stein estimator, Artificial Life and Robotics, in press.
Brian Godwin Lim, Galvin Brice Sy Lim, Renzo Roel Perez Tan, Kazushi Ikeda (2025): Contextualized messages boost graph representations, Transactions on Machine Learning Research, in press.
Brian Godwin S. Lim, Renzo Roel Perez Tan, Richard M. de Jesus, Lessandro Estelito O. Garciano, Agnes D. Garciano, Kazushi Ikeda (2025): Path survival probabilities as measures of resilience for lifeline utility networks, Journal of Combinatorial Optimization, in press.
Brian Godwin S. Lim, Miguel Saavedra, Renzo Roel Perez Tan, Kwangsung Oh, Kazushi Ikeda, William Yu (2025): Geo-distributed multi-cloud data center storage tiering and selection with zero-suppressed binary decision diagrams, Journal of Cloud Computing, in press.
C. Suresh Prasanna, S. Harish, T. Yamakawa, K. Ikeda, Y. Hayakawa, H. Hamasaki, H. Ikeda, M. Navaneethan (2025): Investigating the effect of microwave growth parameter regulation in the growth and thermoelectric properties of zinc oxide nanorods/ carbon fabric for wearable thermoelectric application, Carbon Letters, in press.
Hirotaka Kaji, Kazushi Ikeda (2025): Wasserstein non-negative matrix factorization for multi-layered graphs and its application to mobility data, in press.
Brian Godwin Lim, Renzo Roel Tan, Jun Kawahara, Shin-Ichi Minato, Kazushi Ikeda (2024): A recursive framework for evaluating moments using zero-suppressed binary decision diagrams, IEEE Access, 12, 91886-91895.
Don Pietro Saldajeno, Shinpei Kawaoka, Norikazu Masuda, Sunao Tanaka, Hiroko Bando, Tomomi Nishimura, Takayuki Kadoya, Takashi Yamanaka, Shigeru Imoto, Ravindranath M. Velaga, Nobuko Tamura, Tomoyuki Aruga, Kazushi Ikeda, Yukiko Fukui, Yurina Maeshima, Masahiro Takada, Eiji Suzuki, Takayuki Ueno, Seishi Ogawa, Hironori Haga, Shinji Ohno, Satoshi Morita, Kosuke Kawaguchi, Masakazu Toi (2023): Time-series blood cytokine profiles correlate with treatment responses in triple-negative breast cancer patients, British Journal of Cancer, 130/6, 1023-1035.
Chie Hieida, Tomoaki Yamamoto, Takatomi Kubo, Junichiro Yoshimoto, Kazushi Ikeda (2023): Negative emotion recognition using multimodal physiological signals for advanced driving automation systems, Artificial Life and Robotics, 28/2, 388-393.
Adline Bikeri, Kazushi Ikeda (2023): A Hawkes model approach to modeling price spikes in the Japanese electricity market, Energies, 16, 1570.
Riza Rae Pineda, Takatomi Kubo, Masaki Shimada, Kazushi Ikeda (2023): Deep MAnTra: Deep learning-based multi-animal tracking for Japanese macaques, Artificial Life and Robotics, 28/1, 127-138.
Kiri Kuroda, Yukiko Ogura, Akitoshi Ogawa, Tomoya Tamei, Kazushi Ikeda, Tatsuya Kameda (2022): Behavioral and neuro-cognitive bases for emergence of norms and socially shared realities via dynamic interaction, Communications Biology, 5, 1379.
Diki Purnawati, Paul Rossener Regonia, Juan Paolo Bermundo, Kazushi Ikeda, Yukiharu Uraoka (2022): Machine-learned Fermi level prediction of solution processed Ultra-wide bandgap amorphous Gallium Oxide (a-Ga2Ox), ACS Applied Electronic Materials, 4, 5838-5846.
Paul Rossener Regonia, Joshua Philippe Olorocisimo, Florencio De los Reyes, Kazushi Ikeda, Christian Mark Pelicano (2022): Machine learning-enabled nanosafety assessment of multi-metallic alloy nanoparticles modified TiO2 system, NanoImpact, 28, 100442.
Daiki Kansaku, Nobuhiro Kawase, Naoki Fujiwara, Faizan Khan, Arockiyasamy Periyanayaga Kristy, Kuruvankatil Dharmajan Nisha, Toshitaka Yamakawa, Kazushi Ikeda, Yasuhiro Hayakawa, Keiji Murakami, Masaru Shimomura, Hiroya Ikeda (2022): Output power characteristics of flexible thermoelectric power generators, IEICE Transactions on Electronics, E105-C/10, 639-642.
Soki Marumoto, Takatomi Kubo, Makoto Tada, Kazushi Ikeda (2022): Defecation prediction system using bowel sound, IPSJ Transactions on Bioinformatics, 15, 17-21.
Kazunori Ohno, Koutaro Sato, Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Miho Nagasawa, Takefumi Kikusui, Sandeep Kumar Nayak, Shotaro Kojima, Satoshi Tadokoro (2022): Electrocardiography measurement and emotion estimation of working dogs, Robotics and Automation Letters, 7/2, 4047-4054.
Renzo Roel P. Tan, Kyle Stephen S. See, Kazushi Ikeda, Jun Kawahara, Richard M. de Jesus, Lessandro Estelito O. Garciano, Agnes D. Garciano (2022): The relative isolation probability of a vertex in a multiple-source edge-weighted graph, Engineering Letters, 10/1, 117-130.
Aldrich Ellis C. Asuncion, Renzo Roel P. Tan, Christian Paul O. Chan Shio, and Kazushi Ikeda (2022): Recursive linear bounds for the vertex Chromatic number of the pancake graph, International Journal of Applied Mathematics, 52/1, 71-80.
Periyanayaga Kristy Arockiyasamy; Nobuhiro Kawase; Navaneethan Mani; Nisha Kuruvankatil Dharmajan; Toshitaka Yamakawa; Kazushi Ikeda; Masaru Shimomura; Yasuhiro Hayakawa; Hiroya Ikeda (2021): Effect of capping agent for synthesis of ZnO nanostructures on carbon fabrics for thermopower production. J. Mater Sci: Mater Electron, doi.org/10.1007/s10854-021-07295-2
Paul Rossener Regonia, Masahiro Takamura, Takashi Nakano, Naho Ichikawa, Alan Fermin, Go Okada, Yasumasa Okamoto, Shigeto Yamawaki, Kazushi Ikeda, Junichiro Yoshimoto (2021): Modeling heterogeneous brain dynamics of depression and melancholia using energy landscape analysis, Frontiers in Psychiatry, 12, 780997.
Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda (2021): Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities, Neural Networks, 145, 356-373.
Yoshiharu Ikutani, Takatomi Kubo, Satoshi Nishida, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda and Shinji Nishimoto (2020): Expert programmers have fine-tuned cortical representations of source code, eNeuro, 10.1523/ENEURO.0405-20.2020
上田江里子, 久保孝富, 村重哲史, 永澤美保, 池田和司, 瀧本-猪瀬彩加: ウマ (Equus Caballus) とヒトにおける歩行同期の実証的研究, 動物心理学研究, 70 (2020), 27-39.
Jeric Cruz Briones, Takatomi Kubo, Kazushi Ikeda, Extraction of hierarchical behavior patterns using a non-parametric Bayesian approach, Frontiers in Computer Science, 2 (2020), 546917.
Clark Kendrick Go, Monamie Ringhofer, Bryan Lao, Takatomi Kubo, Shinya Yamamoto, Kazushi Ikeda: A mathematical model of herding in horse-harem group, Journal of Ethology, 38 (2020), 343-353.
村山未来, 永澤美保, 片山真希, 池田 和司, 久保 孝富, 山川俊貴, 藤原幸一, 菊水健史: 心拍変動を用いた運動中のイヌの情動評価の試み, 動物心理学研究, 70 (2020), 15-18.
Renzo Roel P. Tan, Jun Kawahara, Kazushi Ikeda, Agnes D. Garciano, Kyle Stephan S. See: Concerning a decision-diagram-based solution to the generalized directed rural postman problem, IAENG International Journal of Computer Science, 47 (2020), 302-309.
Paul Rossener Regonia, Atsushi Ishizumi, Christian Mark Pelicano, Hisao Yanagi, Kazushi Ikeda, Ryosuke Tani: Predicting the band gap of ZnO quantum dots via supervised machine learning models, Optik – International Journal for Light and Electron Optics, 207 (2020), 164469.
Yasutaka Furusho, Kazushi Ikeda: Theoretical analysis of skip connections and batch normalization from generalization and optimization perspectives, APSIPA Transactions on Signal and Information Processing, 9 (2020), e9.
Bryan Lao, Tomoya Tamei, Kazushi Ikeda: Data-efficient framework for personalized physiotherapy feedback, Frontiers in Computer Science, 2 (2020), 3.
Monamie Ringhofer, Clark Kendrick Go, Sota Inoue, Renata S. Mendonca, Satoshi Hirata, Takatomi Kubo, Kazushi Ikeda, Shinya Yamamoto: Mechanisms maintaining cohesiveness of harem groups in horses: male herding and female reactions, Journal of Ethology, 38 (2020), 71-77. (selected to Editor's Choice)
Nishanth Koganti, Tomohiro Shibata, Tomoya Tamei, Kazushi Ikeda: Data-Efficient Learning of Robotic Clothing Assistance Using Bayesian Gaussian Process Latent Variable Model, Advanced Robotics, 33 (2019), 800-814.
Matthew Holland, Kazushi Ikeda: Efficient Learning with Robust Gradient Descent, Machine Learning Journal, 108 (2019), 1523-1560.
Maki Katayama, Takatomi Kubo, Toshitaka Yamakawa, Koichi Fujiwara, Kensaku Nomoto, Kazushi Ikeda, Kazutaka Mogi, Miho Nagasawa, Takefumi Kikusui: Emotional contagion from humans to dogs is facilitated by duration of ownership and dogs' gaze toward their owners, Frontiers in Psychology, 10 (2019), 1678.
Qi Zhang, Hiroaki Sasaki, Kazushi Ikeda: Direct Log-Density Gradient Estimation with Gaussian Mixture Models and Its Application to Clustering, IEICE Transactions on Information and Systems, E102-D (2019), 1154-1162.
Kantaro Shimomura, Kazushi Ikeda: Estimation Accuracy of Covariance Matrices When Their Eigenvalues are Almost Duplicated, APSIPA Transactions on Signal and Information Processing, 7 (2018), e18.
Tatsuya Yamada, Makoto Nishiyama, Shigeyuki Oba, Henri Claver Jimbo, Kazushi Ikeda, Shin Ishii, Kyonsoo Hong, Yuichi Sakumura: Computational Methods for Estimating Molecular System from Membrane Potential Recordings in Nerve Growth Cone, Scientific Reports, 8 (2018), 4559.
Kazushi Ikeda, Aarata Honda, Hiroaki Hanzawa, Seiji Miyoshi: Non-Monotonic Convergence of Online Learning Algorithms for Perceptrons with Noisy Teacher, Neural Networks, 102 (2018), 21-26.
Lei Zhu, Kazushi Ikeda, Shaoning Pang, Tao Ban, Abdolhossein Sarrahfzadeh: Merging Weighted SVMs for Parallel Incremental Learning, Neural Networks, 100 (2018), 25-38.
Jaymar Soriano, Takatomi Kubo, Takao Inoue, Hiroyuki Kida, Toshitaka Yamakawa, Michiyasu Suzuki, Kazushi Ikeda: Q10 Factor in a Neural Mass Model of Epileptic Discharges Explains Heterogeneous Response of Experimental Epilepsy to Focal Brain Cooling, PLoS Computational Biology, 13 (2017), e1005736.
Matthew Holland, Kazushi Ikeda: Robust Regression Using Biased Objectives, Machine Learning Journal, 106 (2017), 1643-1679.
Nishanth Koganti, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata: Bayesian Nonparametric Learning of Cloth Models for Robotic Clothing Assistance, IEEE Trans. Robotics, 33 (2017), 916-931.
Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda: Roles of Pre-Training in Deep Neural Networks from Information Theoretical Perspective, Neurocomputing, 248 (2017), 76-79.
Satoshi Kozawa, T. Akanuma, Tetsuo Sato, Yasuomi Sato, Kazushi Ikeda, Tom N. Sato: Live-Forecast of Stochastic Individual Cell Behavior in Living Organism, Scientific Reports, 6 (2016), 32962.
Maki Katayama, Takatomi Kubo, Kazutaka Mogi, Kazushi Ikeda, Miho Nagasawa, Takefumi Kikusui: Heart Rate Variability Predicts the Emotional State in Dogs,Behavioural Processes, 128 (2016), 108-112.
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Kentarou Hitomi, Masumi Egawa: Modeling and Prediction of Driving Behaviors Using a Nonparametric Bayesian Method with AR Models, IEEE Trans. Intelligent Vehicles, 1/2, 131-138.
Matthew Holland, Kazushi Ikeda: Minimum Divergence Estimators Based on Proper Loss Functions, IEEE Trans. Signal Processing, 64/3 (2016), 704-713.
Tomoya Tamei, Yasuyuki Orito, Hiroyuki Funaya, Kazushi Ikeda, Yohei Okada, Tomohiro Shibata: Kinect-Based Posturography for In-Home Rehabilitation of Balance Disorders, APSIPA Transactions on Signal and Information Processing, 4 (2015), e17.
Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda: Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data, IEEE Trans. on Neural Networks and Learning Systems, 26/9 (2015), 2176-2181.
Yusuke Kubo, Kentarou Baba, Michinori Toriyama, Tadao Sugiura, Satoshi Kozawa, Kazushi Ikeda, Naoyuki Inagaki: Shootin1-Cortactin Interaction Mediates Signal-Force Transduction for Axon Outgrowth, Journal of Cell Biology, 210/4 (2015), 663-676.
Hiroko Katsuno, Michinori Toriyama, Yoichiroh Hosokawa, Kensaku Mizuno, Kazushi Ikeda , Yuichi Sakumura, Naoyuki Inagaki: Actin Migration Driven by Directional Assembly and Disassembly of Membrane Anchored Actin Filaments, Cell Reports, 12/4 (2015), 648-660.
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki, Sato: Variational Inference with ARD Prior for NIRS Diffuse Optical Tomography, IEEE Trans. on Neural Networks and Learning Systems, 26/5 (2015), 1109-1114.
Satoshi Kozawa, Yuichi Sakumura, Michinori Toriyama, Naoyuki Inagaki, Kazushi Ikeda: Bayesian Cell Force Estimation Considering Force Directions, Neural Processing Letters, 41/2 (2015), 191-200.
Naoko Koide, Satoshi Nishida, Takatomi Kubo, Tomohiro Shibata, Kazushi Ikeda: Stimulus-Driven Factor in Abstract-Painting Viewing as an Art Speciality, PLoS ONE, 10/2 (2015), e0117696.
Takamitsu Araki, Kazushi Ikeda, Shotaro Akaho: An Efficient Sampling Algorithm with Adaptations for Bayesian Variable Selection, Neural Networks, 61/1 (2015), 22-31.
Yuki Maruno, Kenta Cho, Kazushi Ikeda: Energy-Efficient User-State Recognition Method Using Wavelet Transform and Singular Value Decomposition, SICE Journal of Control, Measurement, and System Integration, 8/1 (2015), 86-92.
Matthew Holland, Kazushi Ikeda: A Probabilistic Forecasting Approach to Wind Turbine Control, SICE Journal of Control, Measurement, and System Integration, 8/1 (2015), 61-66.
岡田洋平，喜多頼広，中村潤二，柴田智広，船谷浩之，折戸靖幸，爲井智也，池田和司，和田佳郎，形岡博史，上野聡，冷水誠，森岡周，庄本康治: 前屈姿勢と側屈姿勢を合併したパーキンソン病患者に対する直流前提電気刺激ー電極極性が効果に与える影響の検討ー, 運動障害, 24/2 (2014), 印刷中.
Yohei Okada, Tomohiro Shibata, Tomoya Tamei, Yasuyuki Orito, Hiroyuki Funaya, Chihiro Obayashi, Kazushi Ikeda, Makoto Hiyamizu, Shu Morioka: In-Home Posture Evaluation and Visual Feedback Training to Improve Posture with a Kinect-Based System in Parkinson’S disease: A Case Study, Journal of Novel Physiotherapies, 4/5 (2014), 1000232.
Takatomi Kubo, Masaki Yoshida, Takumu Hattori, Kazushi Ikeda: Towards Excluding Redundancy in Electrode Grid for Automatic Speech Recognition Based on Surface EMG, Neurocomputing, 134 (2014), 15-19.
Shigeyuki Ikeda, Tomohiro Shibata, Naoki Nakano, Rieko Okada, Naohiro Tsuyuguchi, Kazushi Ikeda, Amami Kato: Neural Decoding of Vowels during Covert Articulation using Electrocorticography, Frontiers in Human Neuroscience, 10.3389/fnhum.2014.00125.
Satoshi Nishida, Tomohiro Shibata, Kazushi Ikeda: Object-Based Selection Modulates Top-Down Attentional Shifts, Frontiers in Human Neuroscience, 10.3389/fnhum.2014.00090.
Mauricio Burdelis, Kazushi Ikeda: Estimating Passive Dynamics Distributions and State Costs in Linearly Solvable Markov Decision Processes during Z Learning Execution, SICE Journal of Control, Measurement, and System Integration, 7/1 (2014), 48-54.
Takamitsu Araki, Kazushi Ikeda: Adaptive Markov Chain Monte Carlo for Auxiliary Variable Method and Its Application to Parallel Tempering, Neural Networks, 43/1 (2013), 33-40.
Satoshi Nishida, Tomohiro Tanaka, Tomohiro Shibata, Kazushi Ikeda, Tadashi Ogawa: Discharge-Rate Persistence of Baseline Activity during Fixation Reflects Maintenance of Memory-Period Activity in the Macaque Posterior Parietal Cortex, Cerebral Cortex, 10.1093/cercor/bht031 (2013).
池内 亮太, 池田 和司: スペクトルのシフト不変性と音響経路の周波数特性推定に基づく音楽音響信号の音高・発音時刻推定, 電子情報通信学会論文誌, J95-D/12 (2012), 2124-2132.
久保 孝富, 戸田 智基, 吉田 正樹, 服部 託夢, 池田 和司: Vowel Recognition Based on Surface Electromyography with Electrode Grid on Submental Region, 生体医工学, 50/1, 38-46.
Mizuki Ihara, Shin-ichi Maeda, Kazushi Ikeda, Shin Ishii: Low-dimensional Feature Representation for Instrument Identification, SICE Journal of Control, Measurement, and System Integration, 5/4, 249-.
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda: Exponential Family Tensor Factorization: An Online Extension and Applications, Knowledge and Information Systems, 33/1 (2012), 57-88.
Hiroyuki Funaya, Yoshihiko Nomura, Kazushi Ikeda: A Support Vector Machine with Forgetting Factor and Its Statistical Properties, Neural Networks, 24/3 (2012), 45-50.
Kazuho Watanabe, Masato Okada, Kazushi Ikeda: Divergence Measures and a General Framework for Local Variational Approximation, Neural Networks, 24/10 (2011), 1002-1009.
池田 和司, 味間 弘喜, 井上 裕太, 柴田 智広, 深谷 直樹, 人見 謙太郎, 坂東 誉司: 運転状況を推定し学習データを選択する適応的ブレーキ警報システムの開発, システム制御情報学会論文誌, 24/8 (2011), 193-199.
Kazushi Ikeda, Daisuke Komazawa, Hiroyuki Funaya: Information Geometry in Neural Spike Sequences, Frontiers of Electrical and Electronic Engineering in China, 6/1 (2011), 146-150.
Takemasa Yamasaki, Kazushi Ikeda: Statistical Properties of Incremental SVMs Storing Support Vectors, SICE Journal of Control, Measurement, and System Integration, 4/1 (2011), 1-6.
Manabu Takeda, Kazushi Ikeda, Tetsuo Furukawa: Some Learning Properties of Modular Network SOMs, SICE Journal of Control, Measurement, and System Integration, 3/1 (2010), 15-19.
Izumi Kita, Tomohiro Shibata, Y. Kamiya, D. Kato, K. Kunieda, K. Yamada, Kazushi Ikeda: Group Feature Extraction Based on Matrix Factorization from Long-Range Office-Logging Data, Artificial Life and Robotics, 14/3 (2009), 375-378.
Satoshi Nishida, Tomohiro Shibata, Kazushi Ikeda: Prediction of Human Eye Movements in Facial Discrimination Tasks, Artificial Life and Robotics, 14/3 (2009), 348-351.
Megumi Kaneko, Kazunori Hayashi, Peter Popovski, Kazushi Ikeda, Hideaki Sakai, Ramjee Prasad: Amplify-and-Forward Cooperative Diversity Schemes for Multi-Carrier Systems, IEEE Trans. on Wireless Communications, 7/5 (2008), 1845-1850.
Kazushi Ikeda, Takemasa Yamasaki: Incremental Support Vector Machines and Their Geometrical Analyses, Neurocomputing, 70/13-15 (2007), 2528-2533.
Hiroyuki Funaya, Kazushi Ikeda: A Network Analysis of Genetic Algorithms, IEICE Trans. on Information and Systems, E89-D/6 (2007), 124-127.
Kazushi Ikeda: Geometric Properties of Quasi-Additive Learning Algorithms, IEICE Trans. on Fundamentals, E89-A/10 (2006), 2812-2817.
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai: A Statistical Property of Multi-Agent Learning Based on Markov Decision Process, IEEE Trans. on Neural Networks, 17/4, 829-842.
Kazushi Ikeda: Geometrical Properties of Lifting-Up in the Nu Support Vector Machines, IEICE Trans. on Information and Systems, E89-D/2 (2006), 847-852.
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai: The Asymptotic Equipartition Property in Reinforcement Learning and its Relation to Return Maximization, Neural Networks, 19/1 (2006), 62-75.
Kazushi Ikeda: Effects of Kernel Function on Nu Support Vector Machines in Extreme Cases, IEEE Trans. on Neural Networks, 17/1 (2006), 1-9.
Kazushi Ikeda: Information Geometry of Interspike Intervals in Spiking Neurons, Neural Computation, 17/12 (2005), 2719-2735.
Kazushi Ikeda, Noboru Murata: Geometrical Properties of Nu Support Vector Machines with Different Norms, Neural Computation, 17/11 (2005), 2508-2529.
Kazushi Ikeda, Tsutomu Aoishi: An Asymptotic Statistical Analysis of Support Vector Machines with Soft Margins, Neural Networks, 18/3 (2005), 251-259.
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai: On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning, IEICE Trans. on Information and Systems, E88-D/1 (2005), 135-142.
Kazushi Ikeda: An Asymptotic Statistical Theory of Polynomial Kernel Methods, Neural Computation, 16/8 (2004), 1705-1719.
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai: A New Criterion Using Information Gain for Action Selection Strategy in Reinforcement Learning, IEEE Trans. on Neural Networks, 15/4 (2004), 792-799.
Kazushi Ikeda: Geometry and Learning Curves of Kernel Methods with Polynomial Kernels, Systems and Computers in Japan, 35/7 (2004), 41-48.
河本 孝生, 岩田 一貴, 池田 和司, 林 和則, 酒井 英昭: EM アルゴリズムを用いた確率的通信路に対する適応等化法, システム制御情報学会論文誌, 17/3 (2004), 809-811.
Kazushi Ikeda: Boundedness of Input Space and Effective Dimension of Feature Space in Kernel Methods, IEICE Trans. on Information and Systems, E87-D/1 (2004), 297-299.
池田 和司, 坂本 涼平: 前処理を用いたステレオエコーキャンセラにおける学習係数と収束速度, システム制御情報学会論文誌, 16/11 (2003), 551-558.
Youhua Wang, Kazushi Ikeda and Kenji Nakayama: A Numerically Stable Fast Newton Type Adaptive Filter Based on Order Recursive Least Squares Algorithm, IEEE Trans. on Signal Processing, 51/9 (2003), 2357-2368.
池田 和司: 多項式カーネルをもつカーネル法の幾何学と学習曲線, 電子情報通信学会論文誌, J86-D-II/7 (2003), 918-925, 情報論的学習理論特集号招待論文.
Kazushi Ikeda and Ryohei Sakamoto: Convergence Analyses of Stereo Acoustic Echo Canceler with Pre-Processing, IEEE Trans. on Signal Processing, 51/5 (2003), 1324-1334.
Kazushi Ikeda: A Synfire Chain in Layered Coincidence Detectors with Random Synaptic Delays, Neural Networks, 16/1 (2003), 39-46.
Kazushi Ikeda: Convergence Analysis of Block Orthogonal Projection and Affine Projection Algorithms, Signal Processing, 82/3 (2002), 491-496.
Kazushi Ikeda, Shigemitsu Tanaka and Youhua Wang: Convergence Rate Analysis of Fast Predictor-Based Least Squares Algorithm, IEEE Trans. on Circuits and Systems II, 49/1 (2002), 11-15.
Seiji Miyoshi, Kazushi Ikeda and Kenji Nakayama: Geometric Learning Algorithm for Elementary Perceptron and Its Convergence Conditions, Electronics and Communications in Japan: Part 3, 82/9 (1999), 29-38.
Seiji Miyoshi, Kazushi Ikeda and Kenji Nakayama: Convergence Properties of Symmetric Learning Algorithm for Pattern Classification, Electronics and Communications in Japan: Part 3, 82/4 (1999), 18-25.
三好 誠司, 池田 和司, 中山 謙二: 基本パーセプトロンの等比学習とその収束条件, 電子情報通信学会論文誌, J81-A/5 (1998), 844-853.
三好 誠司, 池田 和司, 中山 謙二: 対称学習によるパターン分類の収束特性, 電子情報通信学会論文誌, J81-A/3 (1998), 361-368.
池田 和司: ブロック直交射影アルゴリズムの収束速度解析とブロックサイズの最適化, 応用数理学会論文誌, 7/4 (1997), 403-413.
池田 和司, 三好 誠司, 中山 謙二: 神経学習における正規化 LMS アルゴリズムの収束条件, 日本神経回路学会誌, 4/4 (1997), 151-156.
Kazushi Ikeda, Youhua Wang and Kenji Nakayama: A Stability Analysis of Predictor-Based Least Squares Algorithm, IEICE Trans. on Fundamentals, E80-A/11 (1997), 2286-2290.
池田 和司: 追加学習の漸近論的解析, 電子情報通信学会論文誌, J80-D-II/7 (1997), 1913-1918.
Kazushi Ikeda: Convergence Analysis of Multi-Point Noise Controller, IEICE Trans. on Fundamentals, E80-A/5 (1997), 844-848.
池田 和司: 偽記憶のない連想記憶システム --- ヒステリシスニューロンと一般化逆行列モデル, 日本神経回路学会誌, 3/4 (1996), 141-146.
Kazushi Ikeda and Shun-Ichi Amari: Geometry of Admissible Parameter Region in Neural Learning, IEICE Trans. on Fundamentals, E79-A/6 (1996), 938-943.
Tsunehiro Takeda, Yukio Fukui, Kazushi Ikeda and Takeo Iida: Three-Dimensional Optometer III, Applied Optics-OT, 32/22 (1993), 4155-4168.
橋本 佳三, 比留間 伸行, 池田 和司, 武田 常弘, 福井 幸男: 3次元視覚刺激装置 (TVS) の制御プログラムと性能, 視覚の科学, 13/3 (1992), 188-192.