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喜报∣辽宁工程技术大学工商管理学院管理科学与工程博士生王振与导师邵良杉教授在TOP期刊《Expert Systems with Applications》发表高水平学术论文（图）
辽宁工程技术 工商管理学院 王振 邵良杉 学术论文 发表
2024/12/18
近日，辽宁工程技术大学工商管理学院“双一流”学科高质量学术成果培育中心研究员、管理科学与工程博士生王振与导师邵良杉教授在中科院一区Top期刊《Expert Systems with Applications》上发表高水平论文《Fuzzy prediction of the mine's ventilation structure's tunnel air volume》。
2017年第八届信息情报系统与应用国际会议（2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA)）
2017年 第八届 信息情报系统与应用 国际会议
2017/8/1
Information is widely available and accessible, but frequently leads to information overload and overexposure, while the effort for coding, storing, hiding, securing, transmitting and retrieving it ma...
第二届全球可持续运营管理理论与实践大会（2nd.Global Conference on Theory and Applications of OR/OM for Sustainability(GCTAOS)）
第二届 全球 可持续 运营管理理论 实践大会
2017/6/29
It is widely-accepted that a proper balance of economic, environmental and social objectives needs to be managed in organizations’ global operations to survive and remain competitive. This triple-bott...
第11届国际统计学年会（11th Annual International Conference on Statistics:Teaching,Theory&Applications）
第11届 国际统计学 年会
2017/3/9
The The Mathematics & Statistics Research Unit and Education Research Unit of the Athens Institute for Education and Research (ATINER), will hold its 11th ...
FUNCTIONAL COEFFICIENT MOVING AVERAGE MODEL WITH APPLICATIONS TO FORECASTING CHINESE CPI
Moving Average model functional coefficient model fore- casting Consumer Price Index
2016/1/26
This article establishes the functional coefficient moving average mod-el (FMA), which allows the coefficient of the classical moving average model to adapt with a covariate. The functional coefficien...
Feature Screening for Ultrahigh Dimensional Categorical Data with Applications
Feature Screening Pearson’s Chi-Square Test Screening Consisten- cy Search Engine Marketing
2016/1/26
Ultrahigh dimensional data with both categorical responses and categorical covari-ates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable s...
Feature Screening for Ultrahigh Dimensional Categorical Data with Applications
Feature Screening Pearson’s Chi-Square Test Screening Consisten- cy Search Engine Marketing Text Classification Ultrahigh Dimensional Data
2016/1/20
Ultrahigh dimensional data with both categorical responses and categorical covari-ates are frequently encountered in the analysis of big data, for which feature screening has become an indispensable s...
Varying Naive Bayes Models with Applications toClassi cation of Chinese Text Documents
BIC Chinese Document Classification Screening Consistency Time-dependent Classification Rule
2016/1/20
Document classification is an area of great importance for which many clas-sification methods have been well developed. However, most of these methods cannot generate time-dependent classification rul...
《An Introduction to Statistical Learning with Applications in R》（图）
Statistical Learning Applications
2015/8/21
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged ...
Control Applications of Nonlinear Convex Programming
linear programming convex optimization interior-point methods robust optimal control
2015/7/10
Since 1984 there has been a concentrated effort to develop efficient interior-point methods for linear programming (LP). In the last few years researchers have begun to appreciate a very important pro...
Integer Parameter Estimation in Linear Models with Applications to GPS
GPS integer least-squares integer parameter estimation linear model
2015/7/10
We consider parameter estimation in linear models when some of the parameters are known to be integers. Such problems arise, for example, in positioning using phase measurements in the global position...
In a second-order cone program (SOCP) a linear function is minimized over the intersection of an affine set and the product of second-order (quadratic) cones. SOCPs are nonlinear convex problems that ...
A wide variety of nonlinear convex optimization problems can be cast as problems involving linear matrix inequalities (LMIs), and hence efficiently solved using recently developed interior-point metho...
Advances in Convex Optimization:Interior-point Methods,Cone Programming, and Applications
Advances in Convex Optimization Interior-point Methods Cone Programming Applications
2015/7/10
In this talk I will give an overview of some major developments in convex optimization that have emerged over the last ten years or so. The basic idea is that convex problems are fundamentally tractab...
Log-Det Heuristic for Matrix Rank Minimization with Applications to Hankel and Euclidean Distance Matrices
Log-Det Heuristic Matrix Rank Minimization Applications Hankel Euclidean Distance Matrices
2015/7/10
We present a heuristic for minimizing the rank of a positive semidefinite matrix over a convex set. We use the logarithm of the determinant as a smooth approximation for rank, and locally minimize thi...