Pages that link to "Item:Q3631449"

The following pages link to Theoretical Measures of Relative Performance of Classifiers for High Dimensional Data with Small Sample Sizes (Q3631449):

Displaying 29 items.

• Innovated higher criticism for detecting sparse signals in correlated noise (Q90256) (← links)
• Higher criticism for large-scale inference, especially for rare and weak effects (Q254401) (← links)
• A distance-based, misclassification rate adjusted classifier for multiclass, high-dimensional data (Q741160) (← links)
• Decision theory classification of high-dimensional vectors based on small samples (Q946209) (← links)
• Robust nearest-neighbor methods for classifying high-dimensional data (Q1043737) (← links)
• A \(U\)-classifier for high-dimensional data under non-normality (Q1661350) (← links)
• Detectability of nonparametric signals: higher criticism versus likelihood ratio (Q1711569) (← links)
• Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models (Q2000734) (← links)
• Bias-corrected support vector machine with Gaussian kernel in high-dimension, low-sample-size settings (Q2023463) (← links)
• Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data (Q2068931) (← links)
• Signal detection via Phi-divergences for general mixtures (Q2325350) (← links)
• Optimal properties of centroid-based classifiers for very high-dimensional data (Q2380097) (← links)
• Support vector machine and its bias correction in high-dimension, low-sample-size settings (Q2411297) (← links)
• Optimal classification in sparse Gaussian graphic model (Q2438761) (← links)
• Properties of higher criticism under strong dependence (Q2477065) (← links)
• The intermediates take it all: Asymptotics of higher criticism statistics and a powerful alternative based on equal local levels (Q2938313) (← links)
• (Q3053456) (← links)
• Two-Stage Procedures for High-Dimensional Data (Q3106536) (← links)
• Optimal Detection of Heterogeneous and Heteroscedastic Mixtures (Q3107196) (← links)
• Classification of sparse high-dimensional vectors (Q3559954) (← links)
• Scale adjustments for classifiers in high-dimensional, low sample size settings (Q3633167) (← links)
• (Q4430562) (← links)
• A survey of high dimension low sample size asymptotics (Q4639812) (← links)
• Thresholding-based outlier detection for high-dimensional data (Q4960672) (← links)
• Noise accumulation in high dimensional classification and total signal index (Q4969076) (← links)
• A classifier under the strongly spiked eigenvalue model in high-dimension, low-sample-size context (Q5077372) (← links)
• Robust support vector machine for high-dimensional imbalanced data (Q5082626) (← links)
• Notes on the H-measure of classifier performance (Q6106147) (← links)
• Asymptotic properties of multiclass support vector machine under high dimensional settings (Q6562746) (← links)