Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Hidetomo Ichihashi"'
A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data
Publikováno v:
Advances in Fuzzy Systems, Vol 2011 (2011)
Relational fuzzy clustering has been developed for extracting intrinsic cluster structures of relational data and was extended to a linear fuzzy clustering model based on Fuzzy c-Medoids (FCMdd) concept, in which Fuzzy c-Means-(FCM-) like iterative a
Externí odkaz:
https://doaj.org/article/e730e87545184e49ac2b972117fb1576
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 18:658-664
In many computer vision applications, nearest neighbor searching in high-dimensional spaces is often the most time consuming component and we have few algorithms for solving these high-dimensional nearest neighbor search problems that are faster than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d0e3bb29843eff5fed0b5e78760eca6
https://doi.org/10.20965/jaciii.2014.p0658
https://doi.org/10.20965/jaciii.2014.p0658
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 18:239-245
In order to perform collaborative filtering with published databases in a privacy preserving manner, databases must be anonymized beforehand. This paper studies the applicability of fuzzyk-member clustering in privacy preserving collaborative filteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f238d4876e231ab52d90e606fc4a57e
https://doi.org/10.20965/jaciii.2014.p0239
https://doi.org/10.20965/jaciii.2014.p0239
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 17:312-317
Visualization is a fundamental approach for revealing intrinsic structures in multidimensional observation. This paper considers visualization of non-Euclidean relational data by extracting local linear substructures. In order to extract robust linea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0babb0e1162835e8c3d0568e66d5f6c
https://doi.org/10.20965/jaciii.2013.p0312
https://doi.org/10.20965/jaciii.2013.p0312
Autor:
Masahiro Inuiguchi, Hidetomo Ichihashi
Publikováno v:
Fuzzy Sets and Systems. 213:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb3f07763b37b2c1e183a1ed92f4a4f2
https://doi.org/10.1016/j.fss.2012.08.001
https://doi.org/10.1016/j.fss.2012.08.001
Publikováno v:
International Journal of Fuzzy Logic and Intelligent Systems. 12:36-41
We tested a single pendulum simulation and observed the influence of several situation space segmentation types in reinforcement learning processes in order to propose a new adaptive automation for situation space segmentation. Its segmentation is pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9630c1c42f2a6615bbf5f6b46959fa8b
https://doi.org/10.5391/ijfis.2012.12.1.36
https://doi.org/10.5391/ijfis.2012.12.1.36
Publikováno v:
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 24:821-825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34576b16ee3c5d4bfcacc14e278b2e61
https://doi.org/10.3156/jsoft.24.821
https://doi.org/10.3156/jsoft.24.821
Publikováno v:
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 24:691-696
本論文では，エージェントが使用するメモリを削減するための鎖型状態行動学習を提案する．実環境においては，細やかで精密な学習と状態数と行動数にさくメモリ数，学習時間との間
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65dfb74bb573df76dcf7e0588f687dba
https://doi.org/10.3156/jsoft.24.691
https://doi.org/10.3156/jsoft.24.691
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 15:1050-1056
Relational data is common in many real-world applications. Linear fuzzy clustering models have been extended for handling relational data based on Fuzzyc-Medoids (FCMdd) framework. In this paper, with the goal being to handle non-Euclidean data, β-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ffba195bc20157278e5fd2cd0dbdd3f
https://doi.org/10.20965/jaciii.2011.p1050
https://doi.org/10.20965/jaciii.2011.p1050
Publikováno v:
Journal of Advanced Computational Intelligence and Intelligent Informatics. 15:83-89
In the present paper, a variable selection model in k-Means is proposed, in which a variable weighting mechanism is introduced to PCA-guided k-Means. Variable weights are estimated in a manner similar to FCM clustering, while the membership indicator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bcbce5380c2f8a93f35adcd3e577abe
https://doi.org/10.20965/jaciii.2011.p0083
https://doi.org/10.20965/jaciii.2011.p0083