2009 |
43 | EE | Akira Notsu,
Hidetomo Ichihashi,
Katsuhiro Honda,
Osamu Katai:
Visualization of balancing systems based on naïve psychological approaches.
AI Soc. 23(2): 281-296 (2009) |
2008 |
42 | EE | Yu Yamamoto,
Akira Notsu,
Hidetomo Ichihashi,
Katsuhiro Honda:
Agent-based social simulation based on cognitive economic efficiency.
IEEE Congress on Evolutionary Computation 2008: 1089-1094 |
41 | EE | Katsuhiro Honda,
Hiromichi Araki,
Tomohiro Matsui,
Hidetomo Ichihashi:
A new approach to robust k-Means clustering based on fuzzy principal component analysis.
IJCNN 2008: 208-213 |
40 | EE | Akira Notsu,
Hidetomo Ichihashi,
Katsuhiro Honda:
State and action space segmentation algorithm in Q-learning.
IJCNN 2008: 2384-2389 |
2007 |
39 | EE | Hidetomo Ichihashi,
Katsuhiro Honda,
Yasuhiro Kuramoto,
Fumiaki Matsuura:
Fuzzy c-Means Classifier for Relational Data.
CIDM 2007: 328-334 |
38 | EE | Hidetomo Ichihashi,
Katsuhiro Honda,
Naho Kuwamoto,
Takao Hattori:
Post-supervised Fuzzy c-Means Classifier with Hard Clustering.
CIDM 2007: 583-589 |
37 | EE | Hidetomo Ichihashi,
Katsuhiro Honda,
Akira Notsu,
Takafumi Yagi:
Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation.
FOCI 2007: 214-221 |
36 | EE | Hidetomo Ichihashi,
Katsuhiro Honda,
Akira Notsu,
Takao Hattori:
Aggregation of Standard and Entropy Based Fuzzy c-Means Clustering by a Modified Objective Function.
FOCI 2007: 447-453 |
35 | EE | Katsuhiro Honda,
Ryo Uesugi,
Hidetomo Ichihashi,
Akira Notsu:
Linear Fuzzy Clustering of Mixed Databases Based on Cluster-wise Optimal Scaling of Categorical Variables.
FUZZ-IEEE 2007: 1-6 |
34 | EE | Takahiro Yamanoi,
Hisashi Toyoshima,
Hidetomo Ichihashi:
Spatiotemporal brain activities in recalling sentence by loci mnemonic system.
SMC 2007: 1878-1883 |
33 | EE | Katsuhiro Honda,
Hidetomo Ichihashi,
Francesco Masulli,
Stefano Rovetta:
Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach.
IEEE T. Fuzzy Systems 15(5): 878-889 (2007) |
32 | EE | Katsuhiro Honda,
Hidetomo Ichihashi:
A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights.
JACIII 11(1): 28-34 (2007) |
31 | EE | Chi-Hyon Oh,
Katsuhiro Honda,
Hidetomo Ichihashi:
Quantification of Multivariate Categorical Data Considering Typicality of Item.
JACIII 11(1): 35-39 (2007) |
30 | EE | Katsuhiro Honda,
Ryo Uesugi,
Hidetomo Ichihashi:
FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification.
JACIII 11(2): 162-167 (2007) |
2006 |
29 | EE | Hidetomo Ichihashi,
Katsuhiro Honda,
Akira Notsu:
Postsupervised Hard c-Means Classifier.
RSCTC 2006: 918-927 |
28 | EE | Katsuhiro Honda,
Hidetomo Ichihashi,
Akira Notsu,
Francesco Masulli,
Stefano Rovetta:
Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering.
RSCTC 2006: 939-948 |
27 | EE | Katsuhiro Honda,
Hidetomo Ichihashi:
Fuzzy local independent component analysis with external criteria and its application to knowledge discovery in databases.
Int. J. Approx. Reasoning 42(3): 159-173 (2006) |
2005 |
26 | | Hidetomo Ichihashi,
Katsuhiro Honda:
Fuzzy c-Means Classifier for Incomplete Data Sets with Outliers and Missing Values.
CIMCA/IAWTIC 2005: 457-464 |
25 | EE | Chi-Hyon Oh,
Katsuhiro Honda,
Hidetomo Ichihashi:
Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals.
MDAI 2005: 164-171 |
24 | EE | Katsuhiro Honda,
Hidetomo Ichihashi:
A New Approach to Fuzzification of Memberships in Cluster Analysis.
MDAI 2005: 172-182 |
23 | EE | Katsuhiro Honda,
Hidetomo Ichihashi:
Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models.
IEEE T. Fuzzy Systems 13(4): 508-516 (2005) |
2004 |
22 | EE | Katsuhiro Honda,
Hidetomo Ichihashi:
Linear fuzzy clustering techniques with missing values and their application to local principal component analysis.
IEEE T. Fuzzy Systems 12(2): 183-193 (2004) |
21 | EE | Katsuhiro Honda,
Hidetomo Ichihashi:
Component-wise robust linear fuzzy clustering for collaborative filtering.
Int. J. Approx. Reasoning 37(2): 127-144 (2004) |
20 | EE | Katsuhiro Honda,
Yoshihito Nakamura,
Hidetomo Ichihashi:
Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data.
JACIII 8(4): 397-402 (2004) |
19 | EE | Hidetomo Ichihashi,
Katsuhiro Honda:
Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information.
JACIII 8(6): 566-572 (2004) |
2002 |
18 | | Hidetomo Ichihashi,
Katsuhiro Honda:
Robust Clustering in Fuzzy C-Means with Regularization by Cross Entropy.
FSKD 2002: 471-475 |
2001 |
17 | | Hidetomo Ichihashi,
Kiyotaka Miyagishi,
Katsuhiro Honda:
Fuzzy C-Means Clustering With Regularization by K-L Information.
FUZZ-IEEE 2001: 924-927 |
16 | | Tomoe Entani,
Hidetomo Ichihashi,
Kazutomi Sugihara,
Hideo Tanaka:
Analytic Hierarchy Process Based on Interval Analysis.
FUZZ-IEEE 2001: 956-959 |
15 | EE | Tomoe Entani,
Hidetomo Ichihashi,
Hideo Tanaka:
Optimistic Priority Weights with an Interval Comparison Matrix.
JSAI Workshops 2001: 344-348 |
14 | EE | Katsuhiro Honda,
Nobukazu Sugiura,
Hidetomo Ichihashi,
Shoichi Araki:
Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering.
Web Intelligence 2001: 394-402 |
2000 |
13 | EE | Chi-Hyon Oh,
Hirokazu Komatsu,
Katsuhiro Honda,
Hidetomo Ichihashi:
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables.
IJCNN (3) 2000: 377-380 |
12 | EE | Chi-Hyon Oh,
Eriko Ikeda,
Katsuhiro Honda,
Hidetomo Ichihashi:
Parameter Specification for Fuzzy Clustering by Q-Learning.
IJCNN (4) 2000: 9-12 |
1999 |
11 | EE | Tetsuya Miyoshi,
Hidetomo Ichihashi,
Kazunori Nagasaka:
Fuzzy projection pursuit density estimation by eigenvalue method.
Int. J. Approx. Reasoning 20(3): 237-248 (1999) |
1998 |
10 | EE | Takashi Ohtani,
Hidetomo Ichihashi,
Tetsuya Miyoshi,
Kazunori Nagasaka,
Y. Kanaumi:
Structural learning of neurofuzzy GMDH with Minkowski norm.
KES (2) 1998: 100-107 |
9 | EE | Takashi Ohtani,
Hidetomo Ichihashi,
Tetsuya Miyoshi,
N. Tani:
A pointing device using coordinate transformation of neurofuzzy GMDH.
KES (2) 1998: 108-115 |
8 | | Takashi Ohtani,
Hidetomo Ichihashi,
Tetsuya Miyoshi,
Kazunori Nagasaka:
Orthogonal and Successive Projection Methods for Learning of Neurofuzzy GMDH.
Inf. Sci. 110(1-2): 5-24 (1998) |
7 | | Takashi Ohtani,
Hidetomo Ichihashi,
Tetsuya Miyoshi:
Neurofuzzy Cognitive Maps with Adaptive B-Splines.
Inf. Sci. 110(1-2): 81-102 (1998) |
1995 |
6 | EE | Hidetomo Ichihashi,
Tetsuya Miyoshi,
Kazunori Nagasaka,
M. Tokunaga,
T. Wakamatsu:
A neurofuzzy approach to variational problems by using Gaussian membership functions.
Int. J. Approx. Reasoning 13(4): 287-302 (1995) |
1993 |
5 | EE | Masahiro Inuiguchi,
Hidetomo Ichihashi,
Yasufumi Kume:
Modality constrained programming problems: A unified approach to fuzzy mathematical programming problems in the setting of possibility theory.
Inf. Sci. 67(1-2): 93-126 (1993) |
4 | EE | Hidetomo Ichihashi,
I. Burhan Türksen:
A neuro-fuzzy approach to data analysis of pairwise comparisons.
Int. J. Approx. Reasoning 9(3): 227-248 (1993) |
1992 |
3 | EE | Masahiro Inuiguchi,
Hidetomo Ichihashi,
Yasufumi Kume:
Some properties of extended fuzzy preference relations using modalities.
Inf. Sci. 61(3): 187-209 (1992) |
2 | EE | M. K. Luhandjula,
Hidetomo Ichihashi,
Masahiro Inuiguchi:
Fuzzy and semi-infinite mathematical programming.
Inf. Sci. 61(3): 233-250 (1992) |
1989 |
1 | EE | Hidetomo Ichihashi,
Hideo Tanaka:
Jeffrey-like rules of conditioning for the Dempster-Shafer theory of evidence.
Int. J. Approx. Reasoning 3(2): 143-156 (1989) |