Results 31 to 40 of about 4,004 (162)
Second-Order Cone Programming Formulations for Robust Multiclass Classification [PDF]
Neural Computation, 2007 Multiclass classification is an important and ongoing research subject in machine learning. Current support vector methods for multiclass classification implicitly assume that the parameters in the optimization problems are known exactly. However, in practice, the parameters have perturbations since they are estimated from the training data, which are
Ping Zhong, Masao Fukushima
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Feature Scaling via Second-Order Cone Programming [PDF]
Mathematical Problems in Engineering, 2016 Feature scaling has attracted considerable attention during the past several decades because of its important role in feature selection. In this paper, a novel algorithm for learning scaling factors of features is proposed. It first assigns a nonnegative scaling factor to each feature of data and then adopts a generalized performance measure to learn ...
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Efficient Hyperkernel Learning Using Second-Order Cone Programming [PDF]
IEEE Transactions on Neural Networks, 2004 The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong et al. introduced the method of hyperkernels which can be used to learn the kernel function directly in an inductive setting. However, the associated optimization problem is a
Ivor Wai-Hung Tsang, James Tin-Yau Kwok
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Calibration-Free Robot-Sensor Calibration approach based on Second-Order Cone Programming
MATEC Web of Conferences, 2018 In order to overcome the restrictions of traditional robot-sensor calibration method which solve the tool-camera transformation and robot-world transformation rely on calibration target, a calibration-free approach that solve the robot-sensor calibration
Wei Li +3 more
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Second-Order Cone Relaxations for Binary Quadratic Polynomial Programs [PDF]
SIAM Journal on Optimization, 2011 Several types of relaxations for binary quadratic polynomial programs can be obtained using linear, second-order cone, or semidefinite techniques. In this paper, we propose a general framework to construct conic relaxations for binary quadratic polynomial programs based on polynomial programming.
Bissan Ghaddar +2 more
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Nonsingularity Conditions for FB System of Reformulating Nonlinear Second-Order Cone Programming
Abstract and Applied Analysis, 2013 This paper is a counterpart of Bi et al., 2011. For a locally optimal solution to the nonlinear second-order cone programming (SOCP), specifically, under Robinson’s constraint qualification, we establish the equivalence among the following three ...
Shaohua Pan, Shujun Bi, Jein-Shan Chen
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Mathematics, 2018 In this article, a methodology is developed to solve an interval and a fractional interval programming problem by converting into a non-interval form for second order cone constraints, with the objective function and constraints being interval valued ...
Ali Sadeghi +2 more
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IEEE Access, 2020 Integration of electricity and gas distribution networks improves energy utilization and alleviates environmental pollution. In order to obtain a reasonable energy prices and optimize the day-ahead scheduling scheme under the premise of considering the ...
Haofei Li +4 more
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Design equation for stability of a circular tunnel in anisotropic and heterogeneous clay
Underground Space, 2022 The safety assessment of tunnel stability is critical to tunnel construction and requires accurate analysis to obtain a reliable prediction. Strength anisotropy is an important aspect of clay behavior, but it is mostly neglected in practical stability ...
Suraparb Keawsawasvong +1 more
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