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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
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
 Results 1 - 17 of 17  /   
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