"Variable selection" trang 1 - tải miễn phí từ tailieunhanh
Three local search-based methods for feature selection in credit scoring

Three local search-based methods for feature selection in credit scoring
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Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution

Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution
25    42    1
Lecture Advanced Econometrics (Part II) - Chapter 5: Limited dependent variable models - Truncation, censoring (tobit) and sample selection

Lecture Advanced Econometrics (Part II) - Chapter 5: Limited dependent variable models - Truncation, censoring (tobit) and sample selection
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Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome

Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome
7    55    1
Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp

Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp
13    41    1
Improving the sensitivity of sample clustering by leveraging gene co-expression networks in variable selection

Improving the sensitivity of sample clustering by leveraging gene co-expression networks in variable selection
11    47    1
A Bayesian variable selection procedure to rank overlapping gene sets

A Bayesian variable selection procedure to rank overlapping gene sets
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Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies

Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies
11    14    1
Across population genomic prediction scenarios in which Bayesian variable selection outperforms GBLUP

Across population genomic prediction scenarios in which Bayesian variable selection outperforms GBLUP
12    16    1
MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package

MicroBVS: Dirichlet-tree multinomial regression models with Bayesian variable selection - an R package
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Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection
12    41    1
Controlling false discoveries in high-dimensional situations: Boosting with stability selection

Controlling false discoveries in high-dimensional situations: Boosting with stability selection
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Variable selection for disease progression models: Methods for oncogenetic trees and application to cancer and HIV

Variable selection for disease progression models: Methods for oncogenetic trees and application to cancer and HIV
16    60    1
Variable selection for binary classification using error rate p-values applied to metabolomics data

Variable selection for binary classification using error rate p-values applied to metabolomics data
12    47    1
Variable selection from a feature representing protein sequences: A case of classifcation on bacterial type IV secreted efectors

Variable selection from a feature representing protein sequences: A case of classifcation on bacterial type IV secreted efectors
15    57    1
An experimental study of the intrinsic stability of random forest variable importance measures

An experimental study of the intrinsic stability of random forest variable importance measures
18    49    1
An AUC-based permutation variable importance measure for random forests

An AUC-based permutation variable importance measure for random forests
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Feature selection for high-dimensional temporal data

Feature selection for high-dimensional temporal data
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Performance of a blockwise approach in variable selection using linkage disequilibrium information

Performance of a blockwise approach in variable selection using linkage disequilibrium information
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Dyanamic stability assessment of power system using multilayer feedforward neural networks with reduced feature selection

Dyanamic stability assessment of power system using multilayer feedforward neural networks with reduced feature selection
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