Shin Ishii

Comput. Graph. Forum, February, 2024

2023

End-to-End Policy Gradient Method for POMDPs and Explainable Agents.

[BibT_eX]

[DOI]

Soichiro Nishimori

Sotetsu Koyamada

CoRR, 2023

Pgx: Hardware-accelerated parallel game simulation for reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Adversarial Reinforcement Learning Method to Generate Control Policies Robust Against Worst-Case Value Predictions.

[BibT_eX]

[DOI]

IEEE Access, 2023

Triangle Inequality for Inverse Optimal Control.

[BibT_eX]

[DOI]

Sho Mitsuhashi

IEEE Access, 2023

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EEG study on anticipation of difficulty for upcoming auditory task.

[BibT_eX]

[DOI]

Zichen Song

Hiroshi Higashi

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022

Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2022

Deep learning-based image deconstruction method with maintained saliency.

[BibT_eX]

[DOI]

Neural Networks, 2022

Transition Motion Synthesis for Object Interaction based on Learning Transition Strategies.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2022

Mjx: A framework for Mahjong AI research.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021

The critical balance between dopamine D2 receptor and RGS for the sensitive detection of a transient decay in dopamine signal.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2021

A Meta-Q-Learning Approach to Discriminative Correlation Filter based Visual Tracking.

[BibT_eX]

[DOI]

Akihiro Kubo

J. Intell. Robotic Syst., 2021

EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Adversarial Reinforcement Learning With Noise Compensation by Autoencoder.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

Signaling models for dopamine-dependent temporal contiguity in striatal synaptic plasticity.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2020

Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration.

[BibT_eX]

[DOI]

Neural Networks, 2020

Computational Characteristics of the Striatal Dopamine System Described by Reinforcement Learning With Fast Generalization.

[BibT_eX]

[DOI]

Frontiers Comput. Neurosci., 2020

Modularized Predictive Coding-Based Online Motion Synthesis Combining Environmental Constraints and Motion-Capture Data.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Noise-resistant developmental reproducibility in vertebrate somite formation.

[BibT_eX]

[DOI]

Honda Naoki

Ryutaro Akiyama

Dini Wahyu Kartika Sari

Yasumasa Bessho

Takaaki Matsui

PLoS Comput. Biol., 2019

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

An unsupervised EEG decoding system for human emotion recognition.

[BibT_eX]

[DOI]

Zhen Liang

Neural Networks, 2019

Semi-supervised deep learning of brain tissue segmentation.

[BibT_eX]

[DOI]

Neural Networks, 2019

Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2019

MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography.

[BibT_eX]

[DOI]

Henrik Skibbe

Akiya Watakabe

Ken Nakae

Carlos Enrique Gutierrez

CoRR, 2019

Online motion synthesis framework using a simple mass model based on predictive coding.

[BibT_eX]

[DOI]

Jae-Pyung Hwang

Proceedings of the 18th annual ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2019

Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Identification of animal behavioral strategies by inverse reinforcement learning.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2018

Inverse tissue mechanics of cell monolayer expansion.

[BibT_eX]

[DOI]

Yohei Kondo

Kazuhiro Aoki

PLoS Comput. Biol., 2018

Characterization of electroencephalography signals for estimating saliency features in videos.

[BibT_eX]

[DOI]

Neural Networks, 2018

Binary classifiers ensemble based on Bregman divergence for multi-class classification.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Efficient Diverse Ensemble for Discriminative Co-Tracking.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Constructing a meta-tracker using Dropout to imitate the behavior of an arbitrary black-box tracker.

[BibT_eX]

[DOI]

Neural Networks, 2017

Neural Sequence Model Training via $α$-divergence Minimization.

[BibT_eX]

[DOI]

CoRR, 2017

Active discriminative tracking using collective memory.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Efficient asymmetric co-tracking using uncertainty sampling.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

Estimation of the Change of Agents Behavior Strategy Using State-Action History.

[BibT_eX]

[DOI]

Shihori Uchida

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Individual Identification by Resting-State EEG Using Common Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Efficient Version-Space Reduction for Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 14th Conference on Computer and Robot Vision, 2017

Active collaborative ensemble tracking.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016

Uncertainty-Dependent Extinction of Fear Memory in an Amygdala-mPFC Neural Circuit Model.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2016

Sparse and low-rank matrix regularization for learning time-varying Markov networks.

[BibT_eX]

[DOI]

Aapo Hyvärinen

Mach. Learn., 2016

An occlusion-aware particle filter tracker to handle complex and persistent occlusions.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2016

Distributional Smoothing by Virtual Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

Data-Driven Probabilistic Occlusion Mask to Promote Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 13th Conference on Computer and Robot Vision, 2016

Robust discriminative tracking via query-by-bagging.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2016

2015

Efficient Monte Carlo Image Analysis for the Location of Vascular Entity.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

Learning a common dictionary for subject-transfer decoding with resting calibration.

[BibT_eX]

[DOI]

NeuroImage, 2015

The State-of-the-Art in Handling Occlusions for Visual Object Tracking.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2015

Deep learning of fMRI big data: a novel approach to subject-transfer decoding.

[BibT_eX]

[DOI]

CoRR, 2015

Principal Sensitivity Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Expanding histogram of colors with gridding to improve tracking accuracy.

[BibT_eX]

[DOI]

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Inverse Reinforcement Learning Based on Behaviors of a Learning Agent.

[BibT_eX]

[DOI]

Shunsuke Sakurai

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Computational Complexity Reduction for Functional Connectivity Estimation in Large Scale Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Data-driven brain computer interface in real environments.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Winter Conference on Brain-Computer Interface, 2015

2014

A Statistical Method of Identifying Interactions in Neuron-Glia Systems Based on Functional Multicell Ca2+ Imaging.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2014

Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information.

[BibT_eX]

[DOI]

NeuroImage, 2014

Spiking network simulation code for petascale computers.

[BibT_eX]

[DOI]

Susanne Kunkel

Maximilian Schmidt

Jochen Martin Eppler

Hans Ekkehard Plesser

Frontiers Neuroinformatics, 2014

Modeling of human velocity habituation for a robotic wheelchair.

[BibT_eX]

[DOI]

Yoichi Morales

Jamilah A. Abdur-Rahim

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity.

[BibT_eX]

[DOI]

Henrik Skibbe

Marco Reisert

Proceedings of the Pattern Recognition - 36th German Conference, 2014

Live demonstration: Database-driven artifact detection method for EEG systems with few channels (DAD).

[BibT_eX]

[DOI]

Jamilah A. Abdur-Rahim

Takeshi Ogawa

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Database-driven artifact detection method for EEG systems with few channels (DAD).

[BibT_eX]

[DOI]

Jamilah A. Abdur-Rahim

Takeshi Ogawa

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

2013

Microscopic image restoration based on tensor factorization of rotated patches.

[BibT_eX]

[DOI]

Artif. Life Robotics, 2013

A waypoint-based framework in brain-controlled smart home environments: Brain interfaces, domotics, and robotics integration.

[BibT_eX]

[DOI]

Nagasrikanth Kallakuri

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

A State-Space Modeling Approach for Localization of Focal Current Sources From MEG.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2012

Asymptotic analysis of value prediction by well-specified and misspecified models.

[BibT_eX]

[DOI]

Tsuyoshi Ueno

Neural Networks, 2012

Supercomputers Ready for Use as Discovery Machines for Neuroscience.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2012

A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 19th International Conference, 2012

Control of a Free-Falling Cat by Policy-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Daichi Nakano

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Incremental State Aggregation for Value Function Estimation in Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

A multiphysical model of cell migration integrating reaction-diffusion, membrane and cytoskeleton.

[BibT_eX]

[DOI]

Seigo Nonaka

Honda Naoki

Neural Networks, 2011

Multi-scale, multi-modal neural modeling and simulation.

[BibT_eX]

[DOI]

Markus Diesmann

Kenji Doya

Neural Networks, 2011

Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions.

[BibT_eX]

[DOI]

Mach. Learn., 2011

Generalized TD Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Bayesian Normalized Gaussian Network and Hierarchical Model Selection Method.

[BibT_eX]

[DOI]

Intell. Autom. Soft Comput., 2011

Motion Compensated X-ray CT Algorithm for Moving Objects.

[BibT_eX]

[DOI]

Takumi Tanaka

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

Sparse Bayesian Learning of Filters for Efficient Image Expansion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2010

Hierarchical rule switching in prefrontal cortex.

[BibT_eX]

[DOI]

Hidefumi Funakoshi

NeuroImage, 2010

Bayesian image superresolution and hidden variable modeling.

[BibT_eX]

[DOI]

J. Syst. Sci. Complex., 2010

Visual attention model involving feature-based inhibition of return.

[BibT_eX]

[DOI]

Shinji Hotta

Artif. Life Robotics, 2010

Sparse and Low-Rank Estimation of Time-Varying Markov Networks with Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

Aapo Hyvärinen

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

Bayesian X-ray computed tomography using material class knowledge.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Noise-Induced Collective Migration for Neural Crest Cells.

[BibT_eX]

[DOI]

Masataka Yamao

Honda Naoki

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Hidden Markov Model for Human Decision Process in a Partially Observable Environment.

[BibT_eX]

[DOI]

Masahiro Adomi

Yumi Shikauchi

Proceedings of the Artificial Neural Networks, 2010

2009

Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis Using Gene Expression Profiles.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2009

Learning a multi-dimensional companding function for lossy source coding.

[BibT_eX]

[DOI]

Neural Networks, 2009

Superresolution with compound Markov random fields via the variational EM algorithm.

[BibT_eX]

[DOI]

Neural Networks, 2009

A Multiclass Classification Method Based on Decoding of Binary Classifiers.

[BibT_eX]

[DOI]

Neural Comput., 2009

Solo instrumental music analysis using the source-filter model as a sound production model considering temporal dynamics.

[BibT_eX]

[DOI]

Mizuki Ihara

Neural Comput. Appl., 2009

Adaptive particle allocation for multifocal visual attention based on particle filtering.

[BibT_eX]

[DOI]

Naomi Yano

Tomohiro Shibata

Artif. Life Robotics, 2009

Optimal Online Learning Procedures for Model-Free Policy Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Dynamic Exponential Family Matrix Factorization.

[BibT_eX]

[DOI]

Kohei Hayashi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Learning of Go Board State Evaluation Function by Artificial Neural Network.

[BibT_eX]

[DOI]

Hiroki Tomizawa

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Robust Approximation in Decomposed Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Superresolution from Occluded Scenes.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 16th International Conference, 2009

Learning color image expansion filters.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

An Additive Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

2008

Quantification of Local Morphodynamics and Local GTPase Activity by Edge Evolution Tracking.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2008

Virtual Force/Tactile Sensors for Interactive Machines Using the User's Biological Signals.

[BibT_eX]

[DOI]

Tomoya Tamei

Tomohiro Shibata

Adv. Robotics, 2008

A probabilistic modeling of MOSAIC learning.

[BibT_eX]

[DOI]

Artif. Life Robotics, 2008

Adaptive control of a looper-like robot based on the CPG-actor-critic method.

[BibT_eX]

[DOI]

Artif. Life Robotics, 2008

A Closed-Form Estimator of Fully Visible Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

On the Synchrony of Morphological and Molecular Signaling Events in Cell Migration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Interpreting Dopamine Activities in Stochastic Reward Tasks.

[BibT_eX]

[DOI]

Akiyo Asahina

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A semiparametric statistical approach to model-free policy evaluation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

A Continuous Internal-State Controller for Partially Observable Markov Decision Processes.

[BibT_eX]

[DOI]

Yuki Taniguchi

Proceedings of the Artificial Neural Networks, 2008

Self-organized Reinforcement Learning Based on Policy Gradient in Nonstationary Environments.

[BibT_eX]

[DOI]

Yu Hiei

Proceedings of the Artificial Neural Networks, 2008

2007

Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2007

Reinforcement learning for a biped robot based on a CPG-actor-critic method.

[BibT_eX]

[DOI]

Neural Networks, 2007

Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation.

[BibT_eX]

[DOI]

Neural Comput., 2007

Parameter estimation for von Mises-Fisher distributions.

[BibT_eX]

[DOI]

Comput. Stat., 2007

Heterogeneous Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A probabilistic decoding approach to multi-class classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Estimation of the Source-Filter Model Using Temporal Dynamics.

[BibT_eX]

[DOI]

Mizuki Ihara

Proceedings of the International Joint Conference on Neural Networks, 2007

Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking.

[BibT_eX]

[DOI]

Yuki Tsukada

Yuichi Sakumura

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Visual Tracking Achieved by Adaptive Sampling from Hierarchical and Parallel Predictions.

[BibT_eX]

[DOI]

Tomohiro Shibata

Takashi Bando

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Optimization of Parametric Companding Function for an Efficient Coding.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Bayesian Collaborative Predictors for General User Modeling Tasks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Reinforcement Learning for Cooperative Actions in a Partially Observable Multi-agent System.

[BibT_eX]

[DOI]

Yuki Taniguchi

Proceedings of the Artificial Neural Networks, 2007

Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

Multiclass classification as a decoding problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

A Probabilistic Model of MOSAIC.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006

Reinforcement learning for quasi-passive dynamic walking of an unstable biped robot.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2006

Switching particle filters for efficient visual tracking.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2006

Stochastic resonance with differential code in feedforward network with intra-layer random connections.

[BibT_eX]

[DOI]

Yuichi Sakumura

Neural Networks, 2006

The role of short-term depression in sustained neural activity in the prefrontal cortex: A simulation study.

[BibT_eX]

[DOI]

Yasunobu Igarashi

Yuichi Sakumura

Neural Networks, 2006

Reinforcement Learning: Machine Learning and Natural Learning.

[BibT_eX]

[DOI]

New Gener. Comput., 2006

Balancing plasticity and stability of on-line learning based on hierarchical Bayesian adaptation of forgetting factors.

[BibT_eX]

[DOI]

Neurocomputing, 2006

Semi-supervised discovery of differential genes.

[BibT_eX]

[DOI]

BMC Bioinform., 2006

Fast and Stable Learning of Quasi-Passive Dynamic Walking by an Unstable Biped Robot based on Off-Policy Natural Actor-Critic.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Semi-supervised Significance Score of Differential Gene Expressions.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2006

Feature Extraction for Decision-Theoretic Planning in Partially Observable Environments.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2006

2005

Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model.

[BibT_eX]

[DOI]

Wen-Jie Song

Neural Comput., 2005

A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game.

[BibT_eX]

[DOI]

Mach. Learn., 2005

Off-Policy Natural Policy Gradient Method for a Biped Walking Using a CPG Controller.

[BibT_eX]

[DOI]

J. Robotics Mechatronics, 2005

Model-based reinforcement learning: a computational model and an fMRI study.

[BibT_eX]

[DOI]

Neurocomputing, 2005

Acrobot control by learning the switching of multiple controllers.

[BibT_eX]

[DOI]

Artif. Life Robotics, 2005

On-line learning of a feedback controller for quasi-passive-dynamic walking by a stochastic policy gradient method.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Model-based reinforcement learning for a multi-player card game with partial observability.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Multi-Scale Clustering for Gene Expression Profiling Data.

[BibT_eX]

[DOI]

Kikuya Kato

Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005

2004

Temporal Reasoning about Two Concurrent Sequences of Events.

[BibT_eX]

[DOI]

SIAM J. Comput., 2004

Bayesian representation learning in the cortex regulated by acetylcholine.

[BibT_eX]

[DOI]

Neural Networks, 2004

Self-organization of delay lines by spike-time-dependent learning.

[BibT_eX]

[DOI]

Neurocomputing, 2004

Reinforcement learning for a snake-like robot controlled by a central pattern generator.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004

Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2004

Switching Particle Filters for Efficient Real-time Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Reinforcement Learning for CPG-Driven Biped Robot.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

Variational Bayes method for Mixture of Principal Component Analyzers.

[BibT_eX]

[DOI]

Syst. Comput. Jpn., 2003

A Bayesian missing value estimation method for gene expression profile data.

[BibT_eX]

[DOI]

Bioinform., 2003

A reinforcement learning scheme for a multi-agent card game.

[BibT_eX]

[DOI]

Yoichiro Matsuno

Proceedings of the IEEE International Conference on Systems, 2003

System Identification Based on Online Variational Bayes Method and Its Application to Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Prior Hyperparameters in Bayesian PCA.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

A multiagent reinforcement learning method based on the model inference of the other agents.

[BibT_eX]

[DOI]

Syst. Comput. Jpn., 2002

Control of exploitation-exploration meta-parameter in reinforcement learning.

[BibT_eX]

[DOI]

Neural Networks, 2002

Doubly constrained network for combinatorial optimization.

[BibT_eX]

[DOI]

Neurocomputing, 2002

Clustering of Gene Expression Data by Mixture of PCA Models.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Hierarchical Model Selection for NGnet Based on Variational Bayes Inference.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Reinforcement Learning for Biped Locomotion.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

Missing Value Estimation Using Mixture of PCAs.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

2001

Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot.

[BibT_eX]

[DOI]

Syst. Comput. Jpn., 2001

Reconstruction of chaotic dynamics by on-line EM algorithm.

[BibT_eX]

[DOI]

Neural Networks, 2001

Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs.

[BibT_eX]

[DOI]

Neural Comput., 2001

Multiagent reinforcement learning applied to a chase problem in a continuous world.

[BibT_eX]

[DOI]

Hiroki Tamakoshi

Artif. Life Robotics, 2001

On-Line Learning Methods for Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

Gaussian Process Approach to Stochastic Spiking Neurons with Reset.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2001

A multi-agent reinforcement learning method for a partially-observable competitive game.

[BibT_eX]

[DOI]

Yoichiro Matsuno

Tatsuya Yamazaki

Proceedings of the Fifth International Conference on Autonomous Agents, 2001

2000

Analog <i>lambda</i>-opt approach to quadratic assignment problem.

[BibT_eX]

[DOI]

Hirotaka Niitsuma

Minoru Ito

Syst. Comput. Jpn., 2000

On-line EM Algorithm for the Normalized Gaussian Network.

[BibT_eX]

[DOI]

Neural Comput., 2000

-Opt Neural Approaches to Quadratic Assignment Problems.

[BibT_eX]

[DOI]

Hirotaka Niitsuma

Neural Comput., 2000

On-Line EM Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent's Internal Model.

[BibT_eX]

[DOI]

Yasuo Nagayuki

Kenji Doya

Proceedings of the 4th International Conference on Multi-Agent Systems, 2000

Reconstruction of chaotic dynamics using a noise-robust embedding method.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2000

1998

Constrained neural approaches to quadratic assignment problems.

[BibT_eX]

[DOI]

Neural Networks, 1998

Reinforcement Learning Based on On-Line EM Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Strategy Acquisition for the Game "Othello" Based on Reinforcement Learning.

[BibT_eX]

Taku Yoshioka

Minoru Ito

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

On-Line EM Algorithm for Mixture of Local Experts.

[BibT_eX]

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

Self-Organizing Network Learning of Sub-Millisecond Temporal Coded Information.

[BibT_eX]

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997

Chaotic Potts Spin Model for Combinatorial Optimization Problems.

[BibT_eX]

[DOI]

Neural Networks, 1997

Eliminating Spurious Memories in a Network of Chaotic Elements.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 1997

1996

A network of chaotic elements for information processing.

[BibT_eX]

[DOI]

Kenji Fukumizu

Sumio Watanabe

Neural Networks, 1996

1995

Chaotic Potts spin.

[BibT_eX]

[DOI]