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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-05 13:30 |
Hokkaido | [Invited Talk]
Optimal Solution Path Following Algorithm for Pattern Recognition and Machine Learning Ichiro Takeuchi (NIT)  PRMU2011-66 IBISML2011-25 |
Many pattern classification and machine learning algorithms are formulated as mathematical optimization problems. These ... [more] | PRMU2011-66 IBISML2011-25 pp.59-60 |
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| IBISML | 2011-03-28 15:00 |
Osaka | Nakanoshima Center, Osaka Univ. | A Study on Position-based Adaptive Weighting for Ranking SVM Masayuki Karasuyama, Takuya Hasegawa, Tsukasa Matsuno, Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2010-115 |
This paper presents a novel training algorithm for ranking support vector machine (ranking SVM). The focus is on how to ... [more] | IBISML2010-115 pp.77-83 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
A Study on Multiple Multivariate Two-Sample Test for Gene Set Analysis using MST-based SVM Path-Following Yuta Ishikawa, Kota Isobe, Masayuki Karasuyama, Taisuke Izumi, Ichiro Takeuchi (NIT) IBISML2010-88 |
Microarray technology enables us to measure expression levels of thousands of genes simultaneously. We consider how to f... [more] | IBISML2010-88 pp.211-220 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
A Study on the Suboptimal Solution Path Algorithm Masayuki Karasuyama, Ichiro Takeuchi (NIT) IBISML2010-89 |
The solution path algorithms in machine learning trace the exact optimal solutions by exploiting the piecewise linearity... [more] | IBISML2010-89 pp.221-230 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-05 17:30 |
Fukuoka | Fukuoka Univ. | A Study on Feature Selection Path for High-Dimensional Local Classifiers Ichiro Takeuchi (NIT) PRMU2010-71 IBISML2010-43 |
We study feature selection and weighting problems for local-based classifier. The proposed algorithm is formulated as a ... [more] | PRMU2010-71 IBISML2010-43 pp.105-112 |
| NC, MBE (Joint) |
2010-03-10 10:40 |
Tokyo | Tamagawa University | A Study on Path Following of Label-Permuted Solution for Support Vector Machine and its Application for Microarray Data Analysis Yuta Ishikawa, Kouta Isobe, Ichiro Takeuchi (Nagoya Inst. of Tech.) NC2009-132 |
Microarray technology enables us to measure expression levels of thousands of genes simultaneously.The fundamental task ... [more] | NC2009-132 pp.261-266 |
| NC, MBE (Joint) |
2010-03-11 13:20 |
Tokyo | Tamagawa University | A study on ranking model optimization by following discrete changes of an evaluation value Naoyuki Harada, Takuya Hasegawa, Masayuki Karasuyama, Ichiro Takeuchi (Nagoya Inst. of Tech.) NC2009-166 |
A well-known ranking method, {\it Ranking SVM}, formulates the ranking problem as the binary classification problem on i... [more] | NC2009-166 pp.461-466 |
| NC, MBE (Joint) |
2008-12-20 14:30 |
Aichi | Nagoya Inst. Tech. | Gradient Based Two Dimensional Path Following for Kernel Machines Masayuki Karasuyama, Ichiro Takeuchi (NIT), Ryohei Nakano (Chubu Univ.) NC2008-80 |
The performance of the Kernel Machines depends on its hyperparameters such as a regularization parameter. Since the pro... [more] |
NC2008-80 pp.43-48 |
| CAS, NLP | 2005-09-15 13:30 |
Niigata | Nagaoka Univ. of Technology | Implementation of the Variable Gain Newton Homotopy Method on SPICE Using Path Following Circuits Wataru Kuroki, Kiyotaka Yamamura (Chuo Univ.), Yasuaki Inoue (Waseda Univ.) |
Recently, an efficient homotopy method termed the variable gain Newton homotopy (VGNH) method has been proposed for find... [more] | CAS2005-28 NLP2005-41 pp.13-18 |
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