problem,one wants to predict the classlabels based on a given vector of features.Let x denote the feature vector.Theclass labels,y,are coded as {1,1}.A classication rule δ is a mapping fromx to {1,1} such that a label δ(x) is assigned to the datum at x.Under the0-1 loss,...
Symmetry-Breaking Phenomena in an Optimization Problem for some Nonlinear Elliptic Equation 来自 Semantic Scholar 喜欢 0 阅读量: 37 作者:K Kurata,M Shibata,S Sakamoto 摘要:Let $\Omega$ be a bounded domain in ${\bf R^n}$ with Lipschitz boundary, $\lambda >0,$ and $1\le p \le (n+2...
A computational method for minimization with nonlinear constraints An iterative technique is developed to solve the problem of minimizing a function f ( y ) subject to certain nonlinear constraints g ( y )=0. The variables... RP Mikkilineni,T Feagin - 《Journal of Optimization Theory & Applica...
We show that a good mechanism of default liquidation may improve the total wealth of the financial system and therefore may curb the risk contagion. We formulate this problem as a nonlinear optimization problem with constraints and propose an optimal liquidation policy to minimize the system’s ...
Typically, nonlinear least-squares routines avoid the expensive calculation of the Hessian. This is one of the reasons why we should not apply a general multivariate optimization routine to a least-squares problem. Translate 0 Kudos Copy link Reply Hanyou_Chu Beginner 04-05-2012 0...
A Press - 《Reston Va American Society of Civil Engineers》 被引量: 116发表: 1998年 加载更多来源图书 Optimization and Nonlinear Problems: Trends in Structural Engineering 1968 研究点推荐 Structural Engineering Optimization Nonlinear Problems 引用走势 2005 被引量:2 0...
Nonlinear optimization, theory and algorithms : (the proceedings of an international summer school held at University of Bergamo, Italy, in September 1979 and repeated at the Hatfield Polytechnic, England, in July 1980) edited by L. C. W. Dixon, E. Spedicato, G. P. Szegö Birkhäuser Bos...
SVM is a machine learning model that follows the principle of structured risk minimization40,41. It converts the landslide sample data from a low-dimensional space to a high-dimensional space and converts the nonlinear classification problem in a low-dimensional space to a linear classification pr...
This paper presents a prediction model and algorithm for the clock bias of the BP neural network based on the optimization of the mind evolutionary algorithm (MEA), which is used to optimize the initial weights and thresholds of the BP neural network. The accuracy of the comparison between ...
A Garcia,O Agamennoni - 《Mathematics》 被引量: 3发表: 2010年 A constructive method for the guaranteed optimization of nonlinear dynamical systems Summary: The principles of constructing optimal guaranteeing controls (of discrete type) are investigated for the nonlinear dynamic systems with unknown bu...