Hidetomo Ichihashi

135 papers B 62C 2Misc 1Journal 36Unranked 33
YearRankTypeTitle / Venue / Authors
2014 J jnl
Improvement of PCA-Based Approximate Nearest Neighbor Search Using Distance Statistics.
J. Adv. Comput. Intell. Intell. Informatics
Toshiro Ogita, Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2014 J jnl
Performance Comparison of Collaborative Filtering with k-Anonymized Data by Fuzzy k-Member Clustering.
J. Adv. Comput. Intell. Intell. Informatics
Arina Kawano, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2013 B conf
A cluster validity index for FCM-type co-clustering.
FUZZ-IEEE
Mai Muranishi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2013 — conf
Applicability of ICA-Based Dimension Reduction in Fuzzy c-Means-Based Classifier.
ICONIP (3)
Takuya Kobayashi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2013 B conf
Fuzzy c-Regression Models with direction-dependent uncertainty and its application to residential solar electric power analysis.
FUZZ-IEEE
Shunsuke Iwata, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2013 J jnl
Obituary.
Fuzzy Sets Syst.
Masahiro Inuiguchi, Hidetomo Ichihashi
2013 J jnl
Visualization of Non-Euclidean Relational Data by Robust Linear Fuzzy Clustering Based on FCMdd Framework.
J. Adv. Comput. Intell. Intell. Informatics
Katsuhiro Honda, Takeshi Yamamoto, Akira Notsu, Hidetomo Ichihashi
2012 — conf
A Study on Privacy Preserving Collaborative Filtering with Data Anonymization by Clustering.
IIMSS
Katsuhiro Honda, Yui Matsumoto, Arina Kawano, Akira Notsu, Hidetomo Ichihashi
2012 B conf
A fuzzy variant of k-member clustering for collaborative filtering with data anonymization.
FUZZ-IEEE
Katsuhiro Honda, Arina Kawano, Akira Notsu, Hidetomo Ichihashi
2012 B conf
Alternative fuzzy c-lines and comparison with noise clustering in cluster validation.
FUZZ-IEEE
Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi
2012 B conf
Application of cluster validity criteria to Rock-Paper-Scissors game judgment.
FUZZ-IEEE
Yui Matsumoto, Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012 J jnl
Automatic Adaptive Space Segmentation for Reinforcement Learning.
Int. J. Fuzzy Log. Intell. Syst.
Yuki Komori, Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi
2012 — conf
Cluster validation in k-Means clustering of mixed databases based on principal component analysis.
SCIS&ISIS
Ryoichi Nonoguchi, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012 — conf
Comparison on membership functions in fuzzy k-member clustering for data anonymization.
SCIS&ISIS
Arina Kawano, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012 — conf
FCM-type co-clustering of categorical multivariate data with exclusive partition.
SCIS&ISIS
Yui Matsumoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012 — conf
FCM-type co-clustering with exclusive partition of selected items and application to collaborative filtering.
SCIS&ISIS
Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu, Hidetomo Ichihashi
2012 B conf
Improvement by sorting and thresholding in PCA based nearest neighbor search.
FUZZ-IEEE
Hidetomo Ichihashi, Toshiro Ogita, Katsuhiro Honda, Akira Notsu
2012 — conf
Information compression effect based on PCA for reinforcement learning agents' communication.
SCIS&ISIS
Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Ayaka Ido, Yuki Komori
2012 — conf
Mixed usage of MATLAB and visual C for improving classification time and training time of FCM classifier.
SCIS&ISIS
Takuya Kobayashi, Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu
2012 — conf
PCA-Tree NNS with two approximation methods and annulus bound method.
SCIS&ISIS
Hidetomo Ichihashi, Toshiro Ogita, Akira Notsu, Katsuhiro Honda
2012 — conf
Reinforcement learning with particles for instant optimality.
SCIS&ISIS
Tsuyoshi Beppu, Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi
2012 — conf
Robust local subspace learning by linear fuzzy clustering with Alternative c-Means criterion.
SCIS&ISIS
Sakuya Nakao, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2012 — conf
Template-based fuzzy clustering with cluster-wise coordinate transformation.
SCIS&ISIS
Katsuhiro Honda, Shotaro Osaka, Akira Notsu, Hidetomo Ichihashi
2011 J jnl
A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data.
Adv. Fuzzy Syst.
Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011 B conf
A study on regularization effects of fuzzified memberships in FCM clustering.
FUZZ-IEEE
Katsuhiro Honda, Yui Matsumoto, Akira Notsu, Hidetomo Ichihashi
2011 J jnl
Alternative fuzzy c-lines and local principal component extraction.
Int. J. Knowl. Eng. Soft Data Paradigms
Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi
2011 B conf
Comparison of scaling behavior between fuzzy c-means based classifier with many parameters and LibSVM.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu
2011 B conf
Ellipse detection with hard c-regression models and random initializations.
FUZZ-IEEE
Hidetomo Ichihashi, Li Chieu Lam, Katsuhiro Honda, Akira Notsu
2011 B conf
FCMdd-type linear fuzzy clustering for incomplete non-Euclidean relational data.
FUZZ-IEEE
Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011 J jnl
Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure.
Int. J. Fuzzy Syst. Appl.
Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi
2011 B conf
Hybrid objective function of Fuzzy c-Varieties and cross-shape fuzzy cluster extraction.
FUZZ-IEEE
Daisuke Yoshida, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011 — conf
Improvement of Particle Filter for Reinforcement Learning.
ICMLA (1)
Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori, Yuuki Iwamoto
2011 B conf
Influence of the space segmentation and its adaptive automation for reinforcement learning.
FUZZ-IEEE
Akira Notsu, Yuki Komori, Katsuhiro Honda, Hidetomo Ichihashi
2011 J jnl
Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data.
J. Adv. Comput. Intell. Intell. Informatics
Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011 B conf
PCA-guided k-Means clustering with incomplete data.
FUZZ-IEEE
Katsuhiro Honda, Ryoichi Nonoguchi, Akira Notsu, Hidetomo Ichihashi
2011 B conf
Partially exclusive condition for sequential fuzzy co-cluster extraction.
FUZZ-IEEE
Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011 B conf
Proposed particle-filtering method for reinforcement learning.
FUZZ-IEEE
Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi
2011 — conf
Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion.
ICMLA (2)
Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2011 — conf
Simple Reinforcement Learning for Small-Memory Agent.
ICMLA (1)
Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori
2011 J jnl
Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization.
J. Adv. Comput. Intell. Intell. Informatics
Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2010 J jnl
Collaborative filtering by sequential user-item co-cluster extraction from rectangular relational data.
Int. J. Knowl. Eng. Soft Data Paradigms
Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2010 J jnl
Fuzzy PCA-Guided Robust k -Means Clustering.
IEEE Trans. Fuzzy Syst.
Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2010 — conf
Fuzzy and Semi-hard
IUM
Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2010 B conf
Improvement in the performance of camera based vehicle detector for parking lot.
FUZZ-IEEE
Hidetomo Ichihashi, Tatsuya Katada, Makoto Fujiyoshi, Akira Notsu, Katsuhiro Honda
2010 J jnl
Local subspace learning by extended fuzzy c-medoids clustering.
Int. J. Knowl. Eng. Soft Data Paradigms
Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2010 B conf
PCA-guided fuzzy cluster validation with noise rejection.
FUZZ-IEEE
Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi
2010 B conf
Semi-hard c-means clustering with application to classifier design.
FUZZ-IEEE
Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2009 B conf
A comparative study on cluster validity criteria in linear fuzzy clustering and pareto optimality analysis.
FUZZ-IEEE
Katsuhiro Honda, Tomonari Nomaguchi, Akira Notsu, Hidetomo Ichihashi
2009 B conf
A fuzzy model-based community simulator for behavior analysis in virtual theme park.
FUZZ-IEEE
Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi
2009 B conf
Benchmarking parameterized fuzzy c-Means classifier.
FUZZ-IEEE
Kazuya Nagaura, Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2009 B conf
Cluster validation in k-Means clustering based on PCA-guided k-Means and procrustean transformation of PC scores.
FUZZ-IEEE
Tomohiro Matsui, Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu, Hidetomo Ichihashi
2009 B conf
Cluster validation in linear fuzzy clustering of relational data from multi-cluster principal coordinate analysis view point.
FUZZ-IEEE
Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2009 B conf
Collaborative filtering by sequential extraction of user-item clusters based on structural balancing approach.
FUZZ-IEEE
Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2009 B conf
Conceptual graph generation from text documents based on perceptual balance.
FUZZ-IEEE
Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi
2009 B conf
PCA-Guided
MDAI
Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2009 B conf
Triplet of FCM classifiers.
FUZZ-IEEE
Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda
2009 B conf
Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier.
FUZZ-IEEE
Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda, Tatsuya Katada, Makoto Fujiyoshi
2009 J jnl
Visualization of balancing systems based on naïve psychological approaches.
AI Soc.
Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda, Osamu Katai
2008 Misc conf
A Perceptual Approach to User Clustering in Collaborative Filtering.
GrC
Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi
2008 B conf
A new approach to robust k-Means clustering based on fuzzy principal component analysis.
IJCNN
Katsuhiro Honda, Hiromichi Araki, Tomohiro Matsui, Hidetomo Ichihashi
2008 B conf
Agent-based social simulation based on cognitive economic efficiency.
IEEE Congress on Evolutionary Computation
Yu Yamamoto, Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda
2008 — book
Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications
Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda
2008 B conf
Classifier of BOLD signals from active and inactive brain states using FCM clustering and evolutionary algorithms.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori
2008 B conf
FCM classifier for high-dimensional data.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Eri Miyamoto
2008 B conf
FCM-type switching regression with alternating least squares method.
FUZZ-IEEE
Katsuhiro Honda, Takahiro Ohyama, Hidetomo Ichihashi, Akira Notsu
2008 B conf
Fuzzy c-means classifier with particle swarm optimization.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Keiichi Ohta
2008 B conf
Linear fuzzy clustering of relational data based on extended Fuzzy c-Medoids.
FUZZ-IEEE
Naoki Haga, Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu
2008 B conf
State and action space segmentation algorithm in Q-learning.
IJCNN
Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda
2007 J jnl
A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights.
J. Adv. Comput. Intell. Intell. Informatics
Katsuhiro Honda, Hidetomo Ichihashi
2007 — conf
Aggregation of Standard and Entropy Based Fuzzy c-Means Clustering by a Modified Objective Function.
FOCI
Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori
2007 J jnl
FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification.
J. Adv. Comput. Intell. Intell. Informatics
Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi
2007 C conf
Fuzzy c-Means Classifier for Relational Data.
CIDM
Hidetomo Ichihashi, Katsuhiro Honda, Yasuhiro Kuramoto, Fumiaki Matsuura
2007 — conf
Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation.
FOCI
Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Yagi
2007 J jnl
Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach.
IEEE Trans. Fuzzy Syst.
Katsuhiro Honda, Hidetomo Ichihashi, Francesco Masulli, Stefano Rovetta
2007 B conf
Linear Fuzzy Clustering of Mixed Databases Based on Cluster-wise Optimal Scaling of Categorical Variables.
FUZZ-IEEE
Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi, Akira Notsu
2007 C conf
Post-supervised Fuzzy c-Means Classifier with Hard Clustering.
CIDM
Hidetomo Ichihashi, Katsuhiro Honda, Naho Kuwamoto, Takao Hattori
2007 J jnl
Quantification of Multivariate Categorical Data Considering Typicality of Item.
J. Adv. Comput. Intell. Intell. Informatics
Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi
2007 B conf
Spatiotemporal brain activities in recalling sentence by loci mnemonic system.
SMC
Takahiro Yamanoi, Hisashi Toyoshima, Hidetomo Ichihashi
2006 B conf
A Sequential Learning Algorithm for Collaborative Filtering With Linear Fuzzy Clustering.
SMC
Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu
2006 B conf
Agent-Based Simulation About Social Value Emergence Based on Perceptual Balance.
SMC
Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda
2006 B conf
Exploratory Approach to fMRI Study with Fuzzy Clustering and General Linear Model.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Kurokawa
2006 J jnl
Fuzzy local independent component analysis with external criteria and its application to knowledge discovery in databases.
Int. J. Approx. Reason.
Katsuhiro Honda, Hidetomo Ichihashi
2006 B conf
Linear Fuzzy Clustering for Mixed Databases Based on Optimal Scaling.
FUZZ-IEEE
Ryo Uesugi, Katsuhiro Honda, Hidetomo Ichihashi
2006 B conf
Local Independent Component Analysis with Fuzzy Clustering and Regression-principal Component Analysis.
FUZZ-IEEE
Tatsuya Maenaka, Katsuhiro Honda, Hidetomo Ichihashi
2006 — conf
Postsupervised Hard
RSCTC
Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu
2006 B conf
Regularized Discriminant in the Setting of Fuzzy c-Means Classifier.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda, Takao Hattori
2006 — conf
Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering.
RSCTC
Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu, Francesco Masulli, Stefano Rovetta
2006 B conf
Simultaneous Application of PLS Regression and FCM-type Clustering.
FUZZ-IEEE
Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu
2005 B conf
A New Approach to Fuzzification of Memberships in Cluster Analysis.
MDAI
Katsuhiro Honda, Hidetomo Ichihashi
2005 B conf
FCM Clustering from the View Point of Iteratively Reweighted Least Squares.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda
2005 — conf
Fuzzy c-Means Classifier for Incomplete Data Sets with Outliers and Missing Values.
CIMCA/IAWTIC
Hidetomo Ichihashi, Katsuhiro Honda
2005 B conf
Graded Possibilistic Approach to Variable Selection in Linear Fuzzy Clustering.
FUZZ-IEEE
Katsuhiro Honda, Hidetomo Ichihashi, Francesco Masulli, Stefano Rovetta
2005 B conf
Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals.
MDAI
Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi
2005 J jnl
Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models.
IEEE Trans. Fuzzy Syst.
Katsuhiro Honda, Hidetomo Ichihashi
2005 B conf
Robust PCA with Intra-Sample Outlier Process Based on Fuzzy Mahalanobis Distances and Noise Clustering.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda, Noboru Wakami
2004 J jnl
Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information.
J. Adv. Comput. Intell. Intell. Informatics
Hidetomo Ichihashi, Katsuhiro Honda
2004 J jnl
Component-wise robust linear fuzzy clustering for collaborative filtering.
Int. J. Approx. Reason.
Katsuhiro Honda, Hidetomo Ichihashi
2004 B conf
Detection of local linear structure from data with uncertainties.
FUZZ-IEEE
Katsuhiro Honda, Hidetomo Ichihashi
2004 B conf
Fuzzy canonical correlation and cluster analysis for brain mapping on long term memory consolidated by mnemonics.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda, Shoichi Araki
2004 J jnl
Linear fuzzy clustering techniques with missing values and their application to local principal component analysis.
IEEE Trans. Fuzzy Syst.
Katsuhiro Honda, Hidetomo Ichihashi
2004 B conf
On parameter setting in applying Dave's noise fuzzy clustering to Gaussian mixture models.
FUZZ-IEEE
Hidetomo Ichihashi, Katsuhiro Honda
2004 J jnl
Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data.
J. Adv. Comput. Intell. Intell. Informatics
Katsuhiro Honda, Yoshihito Nakamura, Hidetomo Ichihashi
2003 B conf
A unified view of probabilistic PCA and regularized linear fuzzy clustering.
IJCNN
Yoshio Mori, Katsuhiro Honda, Akihiro Kanda, Hidetomo Ichihashi
2003 B conf
Robust local principal component analyzer with fuzzy clustering.
IJCNN
Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi
2002 B conf
Linear fuzzy clustering based on least absolute deviations.
FUZZ-IEEE
Katsuhiro Honda, Nobuhiro Togo, Taro Fujii, Hidetomo Ichihashi
2002 — conf
Robust Clustering in Fuzzy C-Means with Regularization by Cross Entropy.
FSKD
Hidetomo Ichihashi, Katsuhiro Honda
2001 B conf
Analytic Hierarchy Process Based on Interval Analysis.
FUZZ-IEEE
Tomoe Entani, Hidetomo Ichihashi, Kazutomi Sugihara, Hideo Tanaka
2001 — conf
Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering.
Web Intelligence
Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi, Shoichi Araki
2001 B conf
Fuzzy C-Means Clustering With Regularization by K-L Information.
FUZZ-IEEE
Hidetomo Ichihashi, Kiyotaka Miyagishi, Katsuhiro Honda
2001 — conf
Optimistic Priority Weights with an Interval Comparison Matrix.
JSAI Workshops
Tomoe Entani, Hidetomo Ichihashi, Hideo Tanaka
2000 — conf
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables.
IJCNN (3)
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hidetomo Ichihashi
2000 — conf
Parameter Specification for Fuzzy Clustering by Q-Learning.
IJCNN (4)
Chi-Hyon Oh, Eriko Ikeda, Katsuhiro Honda, Hidetomo Ichihashi
1999 J jnl
Fuzzy projection pursuit density estimation by eigenvalue method.
Int. J. Approx. Reason.
Tetsuya Miyoshi, Hidetomo Ichihashi, Kazunori Nagasaka
1999 B conf
LVQ-FCV for missing value estimation and pattern classification.
IJCNN
Eriko Ikeda, Hidetomo Ichihashi, Kazunori Nagasaka, Tetsuya Miyoshi
1999 B conf
Nonlinear component analysis by fuzzy clustering and multidimensional scaling methods.
IJCNN
Eriko Ikeda, Toshio Imaoka, Hidetomo Ichihashi, Tetsuya Miyoshi
1999 B conf
Simultaneous application of clustering and correspondence analysis.
IJCNN
Asuka Yamakawa, Katushiko Honda, Hidetomo Ichihashi, Tetsuya Miyoshi
1999 B conf
Simultaneous approach to fuzzy cluster, principal component and multiple regression analysis.
IJCNN
Asuka Yamakawa, Katushiko Honda, Hidetomo Ichihashi, Tetsuya Miyoshi
1998 — conf
A pointing device using coordinate transformation of neurofuzzy GMDH.
KES (2)
Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, N. Tani
1998 J jnl
Neurofuzzy Cognitive Maps with Adaptive B-Splines.
Inf. Sci.
Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi
1998 J jnl
Orthogonal and Successive Projection Methods for Learning of Neurofuzzy GMDH.
Inf. Sci.
Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka
1998 — conf
Structural learning of neurofuzzy GMDH with Minkowski norm.
KES (2)
Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, Y. Kanaumi
1996 J jnl
Neuro-fuzzy ID3: a method of inducing fuzzy decision trees with linear programming for maximizing entropy and an algebraic method for incremental learning.
Fuzzy Sets Syst.
Hidetomo Ichihashi, T. Shirai, Kazunori Nagasaka, Tetsuya Miyoshi
1995 J jnl
A neurofuzzy approach to variational problems by using Gaussian membership functions.
Int. J. Approx. Reason.
Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, M. Tokunaga, T. Wakamatsu
1995 — conf
A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty.
ICNN
Y. Tachibana, G. H. Lee, Hidetomo Ichihashi, Tetsuya Miyoshi
1995 — conf
Learning chaotic dynamics in recurrent RBF network.
ICNN
Tetsuya Miyoshi, Hidetomo Ichihashi, S. Okamoto, T. Hayakawa
1995 — conf
Neuro-fuzzy projection pursuit regression.
ICNN
Tetsuya Miyoshi, Keisuke Nakao, Hidetomo Ichihashi, Kazunori Nagasaka
1993 J jnl
A neuro-fuzzy approach to data analysis of pairwise comparisons.
Int. J. Approx. Reason.
Hidetomo Ichihashi, I. Burhan Türksen
1993 — conf
A neuro-fuzzy approach with pairwise comparisons.
ICNN
Hidetomo Ichihashi, I. Burhan Türksen
1993 J jnl
Maximum Entropy Algorithms for Uncertainty Measures.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Yoichiro Maeda, Hung T. Nguyen, Hidetomo Ichihashi
1993 J jnl
Modality constrained programming problems: A unified approach to fuzzy mathematical programming problems in the setting of possibility theory.
Inf. Sci.
Masahiro Inuiguchi, Hidetomo Ichihashi, Yasufumi Kume
1993 — conf
Neuro-fuzzy optimal control of backing up a trailer truck.
ICNN
Hidetomo Ichihashi, M. Tokunaga
1992 J jnl
Fuzzy and semi-infinite mathematical programming.
Inf. Sci.
M. K. Luhandjula, Hidetomo Ichihashi, Masahiro Inuiguchi
1992 J jnl
Some properties of extended fuzzy preference relations using modalities.
Inf. Sci.
Masahiro Inuiguchi, Hidetomo Ichihashi, Yasufumi Kume
1989 J jnl
Jeffrey-like rules of conditioning for the Dempster-Shafer theory of evidence.
Int. J. Approx. Reason.
Hidetomo Ichihashi, Hideo Tanaka
1989 J jnl
Possibilistic Linear Programming with Measurable Multiattribute Value Functions.
INFORMS J. Comput.
Masahiro Inuiguchi, Hidetomo Ichihashi, Hideo Tanaka