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2017第十届“大规模系统开发管理”国际会议（2017 Tenth International Conference "Management of Large-Scale System Development" (MLSD)）
2017 第十届 大规模系统开发管理 国际会议
2017/9/14
International Conference «Management of large-scale system development»(MLSD) is cross-disciplinary forum of academicians, researchers, teachers and practicians. Since 2007 Conferen...
Children of War:The Long-Run Effects of Large-Scale Physical Destruction and Warfare on Children
Children of War Long-Run Large-Scale Physical Destruction Warfare Children
2016/3/3
This paper provides causal evidence on the long-term consequences of large-scale physical destruction on educational attainment, health status, and labor market outcomes of children. I exploit the pla...
Where There Is a Will:Fertility Behavior and Sex Bias in Large Families
Fertility Behavior Sex Bias Large Families
2016/3/3
This paper demonstrates that the social institutions of lineage maintenance, patrilocality, and joint families have a significant role in explaining sex differences in survival and health outcomes in ...
Law of large numbers for branching symmetric Hunt processes with measure-valued branching rates
Law of large numbers branching Hunt processes spine approach h-transform spectral gap
2016/1/26
We establish weak and strong law of large numbers for a class of branching symmetric Hunt processes with the branching rate being a smooth measure with respect to the underlying Hunt process, and the ...
Strong law of large numbers for supercritical superprocesses under second moment condition
superprocess scaling limit theorem Hunt process spec- tral gap h-transform martingale measure
2016/1/26
Strong law of large numbers for supercritical superprocesses under second moment condition.
Testing the Diagonality of a Large Covariance Matrix in a Regression Setting
Bias-Corrected Test Covariance Diagonality Test High Di- mensional Data
2016/1/26
In multivariate analysis, the covariance matrix associated with a set of vari-ables of interest (namely response variables) commonly contains valuable infor-mation about the dataset. When the dimensio...
Concise Comparative Summaries (CCS) of Large Text Corpora with a Human Experiment
text summarization high-dimensional analysis sparse model- ing Lasso L1 regularized logistic regression co-occurrence tf-idf
2016/1/25
In this paper, we propose a general framework for topic-specific summarization of large text corpora, and illustrate how it can be used for the analysis of news databases. Our framework, concise compa...
Testing the Diagonality of a Large Covariance Matrix in a Regression Setting
Bias-Corrected Test Covariance Diagonality Test High Di- mensional Data Multivariate Analysis
2016/1/20
In multivariate analysis, the covariance matrix associated with a set of vari-ables of interest (namely response variables) commonly contains valuable infor-mation about the dataset. When the dimensio...
Concise Comparative Summaries (CCS) of Large Text Corpora with a Human Experiment
text summarization high-dimensional analysis sparse model- ing, Lasso L1 regularized logistic regression co-occurrence tf-idf
2016/1/20
In this paper, we propose a general framework for topic-specific summarization of large text corpora, and illustrate how it can be used for the analysis of news databases. Our framework, concise compa...
A Strong Law of Large Numbers for Super-stable Processes
Strong Law Large Numbers Super-stable Processes
2016/1/20
A Strong Law of Large Numbers for Super-stable Processes.
Strong law of large number of a class of super-diffusions
Spatial autoregression Dynamic panels Fixed e¤ects Quasi-maximum likelihood estima
2016/1/19
Strong law of large number of a class of super-diffusions.
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
logistic regression feature selection regularization regularization path
2015/7/10
Logistic regression with l1 regularization has been proposed as a promising method for feature selection in classification problems. In this paper we describe an efficient interior-point method for so...
An Interior-Point Method for Large Scale Network Utility Maximization
An Interior-Point Method Large Scale Network Utility Maximization
2015/7/10
We describe a specialized truncated Newton primal-dual interior-point method that solves large scale network utility maximization problems, with concave utility functions, efficiently and reliably. Ou...
We consider the problem of choosing the gate sizes or scale factors in a combinational logic circuit in order to minimize the total area, subject to simple RC timing constraints, and a minimum allowed...
An Efficient Method for Large-scale Slack Allocation
timing graph, slack allocation delay budgeting convex optimization
2015/7/9
We consider a timing or project graph, with given delays on the edges and given arrival times at the source and sink nodes. We are to find the arrival times at the other nodes; these determine the tim...