Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 16:10 |
Online |
Online |
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN) NC2021-8 IBISML2021-8 |
Conditional selective inference (SI) has been actively studied as a new statistical inference framework for data-driven ... [more] |
NC2021-8 IBISML2021-8 pp.55-61 |
CAS, NLP |
2018-10-19 10:20 |
Miyagi |
Tohoku Univ. |
An efficient variable-gain homotopy method for finding DC operating points of transistor circuits Kiyotaka Yamamura, Takumi Shimada (Chuo Univ.) CAS2018-51 NLP2018-86 |
Homotopy methods are known to be effective methods for finding DC operating points of nonlinear circuits with the theore... [more] |
CAS2018-51 NLP2018-86 pp.75-79 |
NLP |
2014-07-21 16:25 |
Hokkaido |
Hakodate City Central Library |
DC operating point analysis of nonlinear circuits using the variable-gain Newton fixed-point homotopy method Keiichi Moriyama, Kiyotaka Yamamura (Chuo Univ.) NLP2014-38 |
In the field of circuit simulation, homotopy methods have been studied by many researchers in order to overcome the non-... [more] |
NLP2014-38 pp.37-42 |
IBISML |
2013-11-12 15:45 |
Tokyo |
Tokyo Institute of Technology, Kuramae-Kaikan |
[Poster Presentation]
Global Solvers for Variational Bayesian Low-rank Subspace Clustering Shinichi Nakajima (Nikon), Akiko Takeda (Univ. of Tokyo), S. Derin Babacan (Google), Masashi Sugiyama (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-37 |
Variational Bayesian (VB) learning, known to be a promising approximation method to Bayesian learning,
is generally per... [more] |
IBISML2013-37 pp.7-14 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2013-09-02 09:30 |
Tottori |
|
Optimization for Robust Support Vector Machine Utilizing Homotopy Approach Shinya Suzumura, Kohei Ogawa, Ichiro Takeuchi (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.) PRMU2013-36 IBISML2013-16 |
In this paper, we propose a novel optimization method for robust SVM that has robustness to outliers. In robust SVM, it ... [more] |
PRMU2013-36 IBISML2013-16 pp.19-24 |
IBISML |
2012-11-08 15:00 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Multi-Instance SVM using Parametric Programming Naoki Ishihara, Saori Kurumi, Ichiro Takeuchi (NIT) IBISML2012-72 |
In this paper, we propose a new optimization algorithm for multiple instance learning (MIL). MIL is a supervised learnin... [more] |
IBISML2012-72 pp.271-276 |
NLP |
2009-12-21 16:40 |
Iwate |
|
DC Operating Point Analysis of MOS Transistor Circuits Using the Variable Gain Newton Homotopy Method Yasuhiro Koyama, Mitsuru Tonokura, Kiyotaka Yamamura (Chuo Univ.) NLP2009-137 |
In the field of circuit simulation, homotopy methods have been studied by many researchers to overcome the convergence p... [more] |
NLP2009-137 pp.59-64 |
NLP, CAS |
2008-10-14 11:40 |
Miyagi |
|
Finding Periodic Solutions by Complex Homotopy Based on Harmonic Balance Method Katsuya Nomura, Takashi Hisakado (Kyoto Univ.) CAS2008-35 NLP2008-47 |
In finding periodic solutions, the methods of formulation are classified into two types whether the equation is obtained... [more] |
CAS2008-35 NLP2008-47 pp.7-12 |
NLP, CAS |
2006-10-04 14:05 |
Osaka |
|
A SPICE-Oriented Method for Finding DC Operating Points of Nonlinear Circuits Containing Piecewise-Linear Macromodels Wataru Kuroki, Kiyotaka Yamamura (Chuo Univ.) |
Recently, efficient algorithms have been proposed for finding all characteristic curves of one-port piecewise-linear (PW... [more] |
CAS2006-25 NLP2006-48 pp.25-30 |
NLP, CAS |
2006-10-04 14:55 |
Osaka |
|
A Globally Convergent Method for Finding DC Solutions of MOS Transistor Circuits Kazutoshi Sako, Hong Yu, Yasuaki Inoue (Waseda Univ.) |
Finding DC operating points of transistor circuits is a very important and difficult task. The Newton-Raphson methods em... [more] |
CAS2006-27 NLP2006-50 pp.37-42 |
NLP |
2006-06-23 15:20 |
Tokyo |
Chuo Univ. |
Modeling and Analysis of Genetic Regulatory Networks with Coupled Maps Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) |
A novel model using coupled maps for genetic regulatory networks is proposed.
We study the dynamics of Boolean network,... [more] |
NLP2006-19 pp.47-52 |
NC |
2006-06-16 15:10 |
Okinawa |
OIST |
Self-organizing map of self-organizing maps
-- A proposal of "bundle learning" -- Tetsuo Furukawa (KIT) |
Kohonen's self-organizin map (SOM) is an architecture that generates a map of a given dataset. In this paper, a novel ex... [more] |
NC2006-34 pp.69-74 |
NLP |
2005-12-16 13:50 |
Ibaraki |
Ibaraki Univ. |
Analysis of discontinuity on complex homotopy path with complex time variable Atsushi Koyama, Takashi Hisakado (Kyoto Univ.) |
Homotopy method can be applied to finding periodic oscillations in nonlinear ac circuit. In homotopy method, if we use c... [more] |
NLP2005-91 pp.33-38 |
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 |
NLP |
2005-03-26 11:00 |
Tokyo |
Tokyo Univ |
An Efficient Homotopy Method for Solving Nonlinear Circuits Kiyotaka Yamamura, Naoki Suzuki, Yu Imai (Chuo Univ.), Yasuaki Inoue (Waseda Univ.) |
Finding DC operating points of nonlinear circuits is an important problem in circuit simulation. The Newton-Raphson met... [more] |
NLP2004-128 pp.19-24 |
NLP, CAS |
2004-09-13 17:00 |
Kyoto |
Kyoto Univ. |
[Invited Talk]
Path Following Circuits
-- SPICE-Oriented Numerical Methods Where Formulas Are Described by Circuits -- Kiyotaka Yamamura, Wataru Kuroki (chuo Univ.), Yasuaki Inoue (Waseda Univ.) |
Path following circuits (PFCs) are circuits for solving nonlinear problems on the circuit simulator SPICE. In the metho... [more] |
CAS2004-27 NLP2004-39 pp.33-38 |
NLP, CAS |
2004-09-14 10:50 |
Kyoto |
Kyoto Univ. |
A study of the learning algorithm based on homotopy method for feedforward neural networks Chikahiro Tomita (Shizuoka Univ.), Masahiro Yoshida (SHARP), Hiroshi Ninomiya (SIT), Hideki Asai (Shizuoka Univ.) |
Many kinds of gradient methods have been applied for learning of the feedforward neural networks in order to improve the... [more] |
CAS2004-32 NLP2004-44 pp.25-29 |