Pages that link to "Item:Q5313586"

The following pages link to Bayesian Classification of Tumours by Using Gene Expression Data (Q5313586):

Displaying 35 items.

• Necessary and sufficient conditions for high-dimensional posterior consistency under \(g\)-priors (Q273624) (← links)
• Sparse Bayesian multinomial probit regression model with correlation prior for high-dimensional data classification (Q334051) (← links)
• Bayesian nonlinear regression for large \(p\) small \(n\) problems (Q414543) (← links)
• Bayesian semi-supervised learning with support vector machine (Q537464) (← links)
• Bayesian kernel projections for classification of high dimensional data (Q692966) (← links)
• Two-stage Metropolis-Hastings for tall data (Q724596) (← links)
• A Bayesian hybrid huberized support vector machine and its applications in high-dimensional medical data (Q901503) (← links)
• Decision theory classification of high-dimensional vectors based on small samples (Q946209) (← links)
• Simultaneous cancer classification and gene selection with Bayesian nearest neighbor method: an integrated approach (Q961289) (← links)
• Simple Bayesian binary framework for discovering significant genes and classifying cancer diagnosis (Q961344) (← links)
• Bayesian binary kernel probit model for microarray based cancer classification and gene selection (Q961916) (← links)
• Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data (Q1010516) (← links)
• SVM-like decision theoretical classification of high-dimensional vectors (Q1044064) (← links)
• Mean field variational Bayesian inference for support vector machine classification (Q1623434) (← links)
• Semiparametric regression during 2003--2007 (Q1952023) (← links)
• Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data (Q2184408) (← links)
• Tumor classification using phylogenetic methods on expression data (Q2187663) (← links)
• Adversarial classification: an adversarial risk analysis approach (Q2302772) (← links)
• Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis (Q2358912) (← links)
• Consensus analysis of multiple classifiers using non-repetitive variables: diagnostic application to microarray gene expression data (Q2373280) (← links)
• Bayesian classification for bivariate normal gene expression (Q2445655) (← links)
• Application of Bayesian networks for inferring cause-effect relations from gene expression profiles of cancer versus normal cells (Q2466548) (← links)
• Posterior impropriety of some sparse Bayesian learning models (Q2658011) (← links)
• Nonparametric Variable Selection, Clustering and Prediction for Large Biological Datasets (Q2800196) (← links)
• Bayesian hyper-Lassos with non-convex penalization (Q2802765) (← links)
• Variational Bayes procedure for effective classification of tumor type with microarray gene expression data (Q2922553) (← links)
• A statistical approach to set classification by feature selection with applications to classification of histopathology images (Q2927602) (← links)
• Bayesian Approximate Kernel Regression With Variable Selection (Q3121562) (← links)
• Classifying tissue samples from measurements on cells with within-class tissue sample heterogeneity (Q3165542) (← links)
• Penalized Discriminant Methods for the Classification of Tumors from Gene Expression Data (Q3433236) (← links)
• Event Models for Tumor Classification with SAGE Gene Expression Data (Q3545132) (← links)
• (Q4558532) (← links)
• Bayesian adaptive nearest neighbor (Q4969707) (← links)
• Multivariate Bayesian discrimination for varietal authentication of Chilean red wine (Q5124903) (← links)
• Data augmentation for Bayesian deep learning (Q6122055) (← links)