Search Results - "GOTOH, JUN"
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1
DC formulations and algorithms for sparse optimization problems
Published in Mathematical programming (01-05-2018)“…We propose a DC (Difference of two Convex functions) formulation approach for sparse optimization problems having a cardinality or rank constraint. With the…”
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2
Newsvendor solutions via conditional value-at-risk minimization
Published in European journal of operational research (16-05-2007)“…In this paper, we consider the minimization of the conditional value-at-risk (CVaR), a most preferable risk measure in financial risk management, in the…”
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3
Exact penalty method for knot selection of B-spline regression
Published in Japan journal of industrial and applied mathematics (01-05-2024)“…This paper presents a new approach to selecting knots at the same time as estimating the B-spline regression model. Such simultaneous selection of knots and…”
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4
Robust empirical optimization is almost the same as mean–variance optimization
Published in Operations research letters (01-07-2018)“…We formulate a distributionally robust optimization problem where the deviation of the alternative distribution is controlled by a ϕ-divergence penalty in the…”
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5
On the superiority of PGMs to PDCAs in nonsmooth nonconvex sparse regression
Published in Optimization letters (01-11-2021)“…This paper conducts a comparative study of proximal gradient methods (PGMs) and proximal DC algorithms (PDCAs) for sparse regression problems which can be cast…”
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Support vector machines based on convex risk functions and general norms
Published in Annals of operations research (01-02-2017)“…This paper studies unified formulations of support vector machines (SVMs) for binary classification on the basis of convex analysis, especially, convex risk…”
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7
Two pairs of families of polyhedral norms versus ...-norms: proximity and applications in optimization
Published in Mathematical programming (01-03-2016)“…(ProQuest: ... denotes formulae and/or non-USASCII text omitted; see image).This paper studies four families of polyhedral norms parametrized by a single…”
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Dynamic portfolio selection with linear control policies for coherent risk minimization
Published in Operations Research Perspectives (01-01-2023)“…This paper is concerned with a linear control policy for dynamic portfolio selection. We develop this policy by incorporating time-series behaviors of asset…”
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Multi-period portfolio selection using kernel-based control policy with dimensionality reduction
Published in Expert systems with applications (15-06-2014)“…•Kernel method is employed for multi-period portfolio selection.•A dimensionality reduction technique is adopted to efficiently solve the problem.•Numerical…”
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Continuous-Wave Laser Lateral Crystallization of A-Si Thin Films on Polyimide Using a Heatsink Layer Embedded in the Buffer SiO2
Published in Journal of electronic materials (01-06-2021)“…Continuous-wave laser crystallization of amorphous Si (a-Si) thin films on a polyimide (PI)-coated glass substrate is studied by using a single scan of a…”
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11
Minimizing loss probability bounds for portfolio selection
Published in European journal of operational research (01-03-2012)“…► We derive nonparametric upper and lower bounds of portfolio loss probability. ► We propose to minimize a fraction consisting of VaR/CVaR and any norm of a…”
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12
Unseeded Crystal Growth of (100)-Oriented Grain-Boundary-Free Si Thin-Film by a Single Scan of the CW-Laser Lateral Crystallization of a-Si on Insulator
Published in Crystals (Basel) (01-05-2020)“…Laser crystallization of a-Si film on insulating substrate is a promising technology to fabricate three-dimensional integrations (3D ICs), flat panel displays…”
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13
Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios
Published in Computational management science (01-02-2013)“…Index tracking is a passive investment strategy in which a fund (e.g., an ETF: exchange traded fund) manager purchases a set of assets to mimic a market index…”
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14
Robust portfolio techniques for mitigating the fragility of CVaR minimization and generalization to coherent risk measures
Published in Quantitative finance (01-10-2013)“…The conditional value-at-risk (CVaR) has gained growing popularity in financial risk management due to the coherence property and tractability in its…”
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15
Peer-To-Peer Lending: Classification in the Loan Application Process
Published in Risks (Basel) (01-12-2018)“…This paper studies the peer-to-peer lending and loan application processing of LendingClub. We tried to reproduce the existing loan application processing…”
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On the role of norm constraints in portfolio selection
Published in Computational management science (01-11-2011)“…Several optimization approaches for portfolio selection have been proposed in order to alleviate the estimation error in the optimal portfolio. Among them are…”
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17
Identification of B.1.346 Lineage of SARS-CoV-2 in Japan: Genomic Evidence of Re-entry of Clade 20C
Published in Keio journal of medicine (01-01-2021)“…SARS-CoV-2 whole-genome sequencing of samples from COVID-19 patients is useful for informing infection control. Datasets of these genomes assembled from…”
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Interaction between financial risk measures and machine learning methods
Published in Computational management science (01-10-2014)“…The purpose of this article is to review the similarity and difference between financial risk minimization and a class of machine learning methods known as…”
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Clinical features and varieties of non-motor fluctuations in Parkinson's disease: A Japanese multicenter study
Published in Parkinsonism & related disorders (01-01-2013)“…Abstract Objective This multicenter cross-sectional study aimed to investigate the clinical features and varieties of non-motor fluctuation in Parkinson's…”
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Head positioning in suspected patients with acute stroke from prehospital to emergency department settings: a systematic review and meta‐analysis
Published in Acute medicine & surgery (01-01-2021)“…Aim This study aimed to clarify whether the lying‐flat position from prehospital to emergency department settings more effectively improves neurological…”
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