about
L1 regularization facilitates detection of cell type-specific parameters in dynamical systems.An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data.Random rotation survival forest for high dimensional censored dataSignS: a parallelized, open-source, freely available, web-based tool for gene selection and molecular signatures for survival and censored data.Testing the additional predictive value of high-dimensional molecular data.A novel algorithm for simultaneous SNP selection in high-dimensional genome-wide association studies.Mortality Risk for Acute Cholangitis (MAC): a risk prediction model for in-hospital mortality in patients with acute cholangitisObserving versus Predicting: Initial Patterns of Filling Predict Long-Term Adherence More Accurately Than High-Dimensional Modeling Techniques.Incidence, determinants, and prognostic value of reverse left ventricular remodelling after primary percutaneous coronary intervention: results of the Acute Myocardial Infarction Contrast Imaging (AMICI) multicenter study.Boosted structured additive regression for Escherichia coli fed-batch fermentation modeling.[The first biologic for rheumatoid arthritis: factors influencing the therapeutic decision].Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies.
P2860
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P2860
description
2006 nî lūn-bûn
@nan
2006 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Model-based boosting in high dimensions.
@ast
Model-based boosting in high dimensions.
@en
type
label
Model-based boosting in high dimensions.
@ast
Model-based boosting in high dimensions.
@en
prefLabel
Model-based boosting in high dimensions.
@ast
Model-based boosting in high dimensions.
@en
P356
P1433
P1476
Model-based boosting in high dimensions.
@en
P2093
Peter Bühlmann
P304
P356
10.1093/BIOINFORMATICS/BTL462
P407
P577
2006-08-29T00:00:00Z