位置：成果数据库 > 期刊 > 期刊详情页
SDP RELAXATION FOR SEMI-SUPERVISED SUPPORT VECTOR MACHINE
  • ISSN号：1348-9151
  • 期刊名称：Pacific Journal of Optimization
  • 时间：2012.1.1
  • 页码：3-14
  • 相关项目：非凸锥优化理论算法及其在蛋白质分类的应用研究
作者： Bai, Y. Q.|Chen, Y.|Niu, B. L.|
同期刊论文项目
非凸锥优化理论算法及其在蛋白质分类的应用研究
期刊论文 25
同项目期刊论文
Two new predictor-corrector algorithms for second-order cone.
Doubly Nonnegative Relaxation Method for Solving Multiple Objective Quadratic Programming Problems,
An improved sequential quadratic programming algorithm for solving general nonlinear programming pro
相依序列方差变点的非参数统计分析
A full-Newton step interior-point algorithm for symmetric cone convex quadratic optimization
ON A REFINEMENT OF THE CONVERGENCE ANALYSIS FOR THE NEW EXACT PENALTY FUNCTION METHOD FOR CONTINUOUS
基于指数型核函数的线性规划原始对偶内点算法
群对称桁架振动设计的半正定模型与降维问题(英文)
New parameterized kernel functions for linear optimization
An exact penalty function method for nonlinear mixed discrete programming problems
A full-step interior-point algorithm for second-order cone optimization based on a simple locally ke
A NEW ALGORITHM FOR SOLVING NONCONVEX QUADRATIC PROGRAMMING OVER AN ICE CREAM CONE
鲁棒信用风险优化的线性锥优化模型(英文)
基于随机矩阵理论的Markowitz组合投资模型
Syntactic expressions to express NP-hard optimization problems and problems with zero duality gap
AR(p)模型中的缺失数据估计
带控制变量的半参数GDP预测模型
Local Self-Concordance of Barrier Functions Based on Kernel-Functions
正则树的双变量色多项式研究
New SDP models for protein homology detection with semi-supervised SVM
A full-Newton step infeasible interior-point algorithm for monotone LCP based on a locally-kernel fu
二阶锥规划两个新的预估-校正算法