搜索结果: 16-28 共查到“管理学 Large-Scale”相关记录28条 . 查询时间(0.277 秒)
Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies
Efficient computation a linear mixed model on large-scale data sets applications genetic studies
2012/9/19
Motivated by genome-wide association studies we consider astan-dard linear model with one additional random effect in situations where many predictors have been collected on the same subjects and each...
The Effects of Reducing Tracking in Upper Secondary School: Evidence from a Large-Scale Pilot Scheme
Reducing Tracking Upper Secondary School Evidence Large-Scale Pilot Scheme
2016/3/9
By exploiting an extensive pilot scheme that preceded an educational reform, this paper evaluates the effects of introducing a more comprehensive upper secondary school system in Sweden. The reform re...
Risk management of large-scale development projects in developing countries: Cases from MDI's projects
development management large-scale projects project management
2011/10/22
The aim of this article is to develop a risk management system to be used for large-scale development projects in developing countries. Such a system can help project managers of this type of projects...
Large-Scale Convex Minimization with a Low-Rank Constraint
Large-Scale Convex Minimization Low-Rank Constraint
2011/7/6
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient greedy algorithm and ...
A nonparametric empirical Bayes framework for large-scale multiple testing
Dirichlet process marginal likelihood mixture model
2011/7/6
We propose a flexible and identifiable version of the two-groups model, motivated by hierarchical Bayes considerations, that features an empirical null and a semiparametric mixture model for the non-n...
In this paper, we first demonstrate that b-bit minwise hashing, whose estimators are positive definite kernels, can be naturally integrated with learning algorithms such as SVM and logistic regression...
Linear1 Support Vector Machines (e.g., SVMperf, Pegasos,
LIBLINEAR) are powerful and extremely efficient classification
tools when the datasets are very large and/or highdimensional,
which is commo...
Missing Data Imputation and Corrected Statistics for Large-Scale Behavioral Databases
missing data imputation statistics corrected for missing data item performance behavioral databases model goodness of fit
2011/3/22
This paper presents a new methodology to solve problems resulting from missing data in large-scale item performance behavioral databases. Useful statistics corrected for missing data are described, an...
Missing Data Imputation and Corrected Statistics for Large-Scale Behavioral Databases
missing data imputation statistics corrected for missing data item performance behavioral databases model goodness of fit
2011/3/23
This paper presents a new methodology to solve problems resulting from missing data in large-scale item performance behavioral databases. Useful statistics corrected for missing data are described, an...
Predictors of short-term decay of cell phone contacts in a large scale communication network
edge persistence edge decay link prediction dynamic networks embeddedness tie strength weighted networks
2011/3/25
Under what conditions is an edge present in a social network at time t likely to decay or persist by some future time t + Delta(t)? Previous research addressing this issue suggests that the network ra...
Large Scale Correlation Screening
High dimensional inference Variable selection Phase transition Poisson limit Renyi entropy Thresholding Sparsity False discovery
2011/3/18
This paper treats the problem of screening for variables with high correlations in high dimensional data in which there can be many fewer samples than variables. We focus on threshold-based correlatio...
Algorithmic and Statistical Perspectives on Large-Scale Data Analysis
Algorithmic Statistical Perspectives Large-Scale Data Analysis
2010/10/19
In recent years, ideas from statistics and scientific computing have begun to interact in increasingly sophisticated and fruitful ways with ideas from computer science and the theory of algorithms to...
Optimal rates of convergence for estimating the null density and proportion of nonnull effects in large-scale multiple testing
Optimal rates convergence null density proportion nonnull effects large-scale multiple testing
2010/3/9
An important estimation problem that is closely related to largescale
multiple testing is that of estimating the null density and the
proportion of nonnull effects. A few estimators have been introd...