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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IBISML |
2015-03-06 15:45 |
Kyoto |
Kyoto University |
Model selection with approximate validation error guarantee for (L^2_2) regularized convex loss minimization problems Atsushi Shibagaki, Yoshiki Suzuki, Ichiro Takeuchi (NIT) IBISML2014-96 |
In this paper we propose a new algorithm that can select an approximately optimal regularization parameter in a class of... [more] |
IBISML2014-96 pp.79-86 |
IBISML |
2014-11-17 17:00 |
Aichi |
Nagoya Univ. |
[Poster Presentation]
Efficient leave-one-out cross-validation for L2-regularized classifier Shota Okumura, Yoshiki Suzuki, Kohei Ogawa, Yuki Shinmura, Ichiro Takeuchi (NIT) IBISML2014-44 |
Leave-one-out cross-validation (LOOCV) is a useful tool
for estimating generalization performances of
various machine ... [more] |
IBISML2014-44 pp.73-80 |
IBISML |
2013-11-12 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Safe Sample Screening Rule on Hinge Loss Minimization Kohei Ogawa, Yamato Kawamoto, Yoshiki Suzuki, Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-39 |
In this paper, we propose the algorithm that can speed up computing problems minimizing Hinge loss such as SVMs, via eli... [more] |
IBISML2013-39 pp.23-30 |
IBISML |
2013-11-13 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Safe Screening Rule for Incmrenetal Learning Yoshiki Suzuki, Shota Okumura, Kohei Ogawa, Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-64 |
Efficient optimization algorithm is required in online learning or other incremental learning scenario since the model m... [more] |
IBISML2013-64 pp.213-218 |
IBISML |
2013-03-05 16:05 |
Aichi |
Nagoya Institute of Technology |
Computing pathwise SVMs by Using Non-Support Vector Screening Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2012-108 |
In this paper, we claim that some of the non-support vectors (non-SVs) that have no influence on the classifier can be s... [more] |
IBISML2012-108 pp.107-114 |
IBISML |
2012-11-08 15:00 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Efficient SVM Bootstrap Computation by Parametric Programming Yoshiki Suzuki, Kohei Ogawa, Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2012-73 |
In this paper, we study statistical variability estimation of the support vector machine (SVM) by using bootstrap method... [more] |
IBISML2012-73 pp.277-282 |
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