The following pages link to (Q4827938):
Displaying 50 items.
- A partially isochronous splitting algorithm for three-block separable convex minimization problems (Q1670406) (← links)
- The neuromorphological caudate-putaminal clustering of neostriate interneurons: Kohonen self-organizing maps and supervised artificial neural networks with multivariate analysis (Q1752422) (← links)
- Optimization approaches to supervised classification (Q1753623) (← links)
- Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations (Q1763097) (← links)
- Speeding up the EM algorithm for mixture model-based segmentation of magnetic resonance images (Q1764074) (← links)
- On data depth and distribution-free discriminant analysis using separating surfaces (Q1767479) (← links)
- On discriminative Bayesian network classifiers and logistic regression (Q1778143) (← links)
- Latent classification models (Q1778144) (← links)
- A predictive deviance criterion for selecting a generative model in semi-supervised classification (Q1800092) (← links)
- Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods. (Q1848769) (← links)
- Direct minimization of error rates in multivariate classification (Q1855617) (← links)
- Gamma mixture models for target recognition (Q1860094) (← links)
- Statistical fraud detection: a review (Q1872609) (← links)
- Robust canonical discriminant analysis (Q1901359) (← links)
- Local discriminant bases and their applications (Q1904368) (← links)
- A neural network approach to long-run exchange rate prediction (Q1915793) (← links)
- \(p\)-values for classification (Q1951759) (← links)
- Closed-form distance estimators under Kalman filtering framework with application to object tracking (Q2007161) (← links)
- Dimension reduction for objects composed of vector sets (Q2012154) (← links)
- Multiclass classification of the scalar Gaussian random field observation with known spatial correlation function (Q2018629) (← links)
- A survey on some recent developments of alternating direction method of multipliers (Q2136506) (← links)
- Jobs runtime forecast for JSCC RAS supercomputers using machine learning methods (Q2225846) (← links)
- An evolutionary algorithm with crossover and mutation for model-based clustering (Q2236771) (← links)
- Prediction and classification in nonlinear data analysis: something old, something new, something borrowed, something blue (Q2259888) (← links)
- Type I errors linked to faulty statistical analyses of endangered subspecies classifications (Q2259917) (← links)
- Latent classification models for binary data (Q2270743) (← links)
- Prediction and estimation consistency of sparse multi-class penalized optimal scoring (Q2278663) (← links)
- Risks of classification of the Gaussian Markov random field observations (Q2317180) (← links)
- Variable selection in discriminant analysis for mixed continuous-binary variables and several groups (Q2324261) (← links)
- Minimizing ratio of monotone non-submodular functions (Q2326079) (← links)
- Generalized Peaceman-Rachford splitting method for multiple-block separable convex programming with applications to robust PCA (Q2363673) (← links)
- Classifier technology and the illusion of progress (Q2381761) (← links)
- On the convergence of the direct extension of ADMM for three-block separable convex minimization models with one strongly convex function (Q2397092) (← links)
- Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations (Q2418361) (← links)
- D-trace estimation of a precision matrix using adaptive lasso penalties (Q2418368) (← links)
- Prediction of Euclidean distances with discrete and continuous outcomes (Q2507747) (← links)
- Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation (Q2628065) (← links)
- From stimulus estimation to combination sensitivity: encoding and processing of amplitude and timing information in parallel, convergent sensory pathways (Q2631497) (← links)
- Entropy-randomized projection (Q2660539) (← links)
- Inference on parameters of Watson distributions and application to classification of observations (Q2667124) (← links)
- Unobserved classes and extra variables in high-dimensional discriminant analysis (Q2673359) (← links)
- Comparing the linear and quadratic discriminant analysis of diabetes disease classification based on data multicollinearity (Q2693273) (← links)
- A dual-primal balanced augmented Lagrangian method for linearly constrained convex programming (Q2700144) (← links)
- Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis (Q2817101) (← links)
- Estimating prediction error in microarray classification: modifications of the 0.632+ bootstrap when \(n<p\) (Q2852557) (← links)
- Covariance-regularized regression and classification for high dimensional problems (Q2920259) (← links)
- Classification in the Gabor time-frequency domain of non-stationary signals embedded in heavy noise with unknown statistical distribution (Q2930580) (← links)
- Finite-sample analysis of impacts of unlabeled data and their labeling mechanisms in linear discriminant analysis (Q2965565) (← links)
- Classification into two normal populations with a common mean and unequal variances (Q2965591) (← links)
- Variable Selection in Canonical Discriminant Analysis for Family Studies (Q3008865) (← links)
