| Presentation | 2018-03-19 Optimization of Gaussian Kernel Parameters for Kernel Logistic Regression Kosuke Fukumori, Tomoya Wada, Toshihisa Tanaka, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The kernel logistic regression is a nonlinear classification model that effectively uses kernel methods, which are one of the techniques to construct effective nonlinear systems with a reproducing kernel Hilbert space (RKHS) induced from a positive definite kernel. Since a performance of the kernel logistic regression with RKHS depends on the kernels to build the model, it is important to select appropriate kernel parameters. In this paper, we propose a method to optimize the kernel widths at learning for the kernel logistic regression using Gaussian kernels. In addition to that, the kernel centers are also updated to increase the generalization ability. For learning of kernel coefficients, we introduce L1-regularization to reduce the number of support vectors. Numerical experiments support the validity of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Kernel logistic regression / Nonlinear classification / Reproducing kernel Hilbert space / Gaussian kernel |
| Paper # | EA2017-135,SIP2017-144,SP2017-118 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |
| Conference Information | |
| Committee | SIP / EA / SP / MI |
|---|---|
| Conference Date | 2018/3/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] |
| Chair | Masahiro Okuda(Univ. of Kitakyushu) / Suehiro Shimauchi(NTT) / Yoichi Yamashita(Ritsumeikan Univ.) / Kensaku Mori(Nagoya Univ.) |
| Vice Chair | Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS) / Mitsunori Mizumachi(Kyutech) / Hiroki Mori(Utsunomiya Univ.) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) |
| Secretary | Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.) / Mitsunori Mizumachi(Akita Pref. Univ.) / Hiroki Mori(Shizuoka Inst. of Science and Tech.) / Yoshiki Kawata(Shizuoka Univ.) / Yuichi Kimura(Meijo Univ.) |
| Assistant | Masayoshi Nakamoto(Hiroshima Univ.ひろ) / TREVINO Jorge(Tohoku Univ.) / Nobutaka Ito(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics / Technical Committee on Speech / Technical Committee on Medical Imaging |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Optimization of Gaussian Kernel Parameters for Kernel Logistic Regression |
| Sub Title (in English) | |
| Keyword(1) | Kernel logistic regression |
| Keyword(2) | Nonlinear classification |
| Keyword(3) | Reproducing kernel Hilbert space |
| Keyword(4) | Gaussian kernel |
| 1st Author's Name | Kosuke Fukumori |
| 1st Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
| 2nd Author's Name | Tomoya Wada |
| 2nd Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
| 3rd Author's Name | Toshihisa Tanaka |
| 3rd Author's Affiliation | Tokyo University of Agriculture and Technology(TUAT) |
| Date | 2018-03-19 |
| Paper # | EA2017-135,SIP2017-144,SP2017-118 |
| Volume (vol) | vol.117 |
| Number (no) | EA-515,SIP-516,SP-517 |
| Page | pp.pp.185-190(EA), pp.185-190(SIP), pp.185-190(SP), |
| #Pages | 6 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |