Probability machines: consistent probability estimation using nonparametric learning machines
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PaPrBaG: A machine learning approach for the detection of novel pathogens from NGS data.Comparative validation of the D. melanogaster modENCODE transcriptome annotation.Machine Learning and Data Mining Methods in Diabetes ResearchRisk estimation using probability machines.The optimal crowd learning machinePrediction of remission in obsessive compulsive disorder using a novel machine learning strategy.First complex, then simpleLooking for childhood-onset schizophrenia: diagnostic algorithms for classifying children and adolescents with psychosis.Improving case-based reasoning systems by combining k-nearest neighbour algorithm with logistic regression in the prediction of patients' registration on the renal transplant waiting listA system-level pathway-phenotype association analysis using synthetic feature random forest.O brave new world that has such machines in itAro: a machine learning approach to identifying single molecules and estimating classification error in fluorescence microscopy imagesA pilot study investigating changes in neural processing after mindfulness training in elite athletes.Using multivariate machine learning methods and structural MRI to classify childhood onset schizophrenia and healthy controls.Risk estimation and risk prediction using machine-learning methods.Smoking Gun or Circumstantial Evidence? Comparison of Statistical Learning Methods using Functional Annotations for Prioritizing Risk Variants.r2VIM: A new variable selection method for random forests in genome-wide association studies.Calibrating random forests for probability estimation.Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory.A nonparametric Bayesian method of translating machine learning scores to probabilities in clinical decision support.Calibration drift in regression and machine learning models for acute kidney injury.Comprehensive de Novo Peptide Sequencing from MS/MS Pairs Generated through Complementary Collision Induced Dissociation and 351 nm Ultraviolet Photodissociation.Comparing high-dimensional confounder control methods for rapid cohort studies from electronic health records.The Effect of Splitting on Random Forests.Efficiency of different measures for defining the applicability domain of classification models.Classification of hospital admissions into emergency and elective care: a machine learning approach.Probability estimation with machine learning methods for dichotomous and multicategory outcome: applications.Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.Some methods for heterogeneous treatment effect estimation in high dimensions.
P2860
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P2860
Probability machines: consistent probability estimation using nonparametric learning machines
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Probability machines: consiste ...... onparametric learning machines
@ast
Probability machines: consiste ...... onparametric learning machines
@en
type
label
Probability machines: consiste ...... onparametric learning machines
@ast
Probability machines: consiste ...... onparametric learning machines
@en
prefLabel
Probability machines: consiste ...... onparametric learning machines
@ast
Probability machines: consiste ...... onparametric learning machines
@en
P2860
P50
P356
P1476
Probability machines: consiste ...... onparametric learning machines
@en
P2093
J D Malley
K G Malley
P2860
P356
10.3414/ME00-01-0052
P577
2011-09-14T00:00:00Z