The following pages link to (Q4861400):
Displaying 50 items.
- Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models (Q107986) (← links)
- Tree-structured modelling of varying coefficients (Q113880) (← links)
- SOM-based algorithms for qualitative variables (Q117138) (← links)
- Greedy function approximation: A gradient boosting machine. (Q127532) (← links)
- Tree-structured modelling of categorical predictors in generalized additive regression (Q137407) (← links)
- Tree-Structured Clustering in Fixed Effects Models (Q137408) (← links)
- Model selection in linear mixed models (Q252741) (← links)
- Understanding predictive information criteria for Bayesian models (Q260993) (← links)
- Variable selection for Fisher linear discriminant analysis using the modified sequential backward selection algorithm for the microarray data (Q275156) (← links)
- Neural networks with multiple general neuron models: a hybrid computational intelligence approach using genetic programming (Q280362) (← links)
- Another look at statistical learning theory and regularization (Q280403) (← links)
- Probabilistic confusion entropy for evaluating classifiers (Q280701) (← links)
- A Bayesian decision-theoretic approach to logically-consistent hypothesis testing (Q296434) (← links)
- Item-focussed trees for the identification of items in differential item functioning (Q316723) (← links)
- Simultaneous predictive Gaussian classifiers (Q318139) (← links)
- CRM in social media: predicting increases in Facebook usage frequency (Q319329) (← links)
- A holonic approach to flexible flow shop scheduling under stochastic processing times (Q336906) (← links)
- Supervised classification and mathematical optimization (Q339559) (← links)
- Improved nearest neighbor classifiers by weighting and selection of predictors (Q340856) (← links)
- Hopf-zero bifurcation in a generalized Gopalsamy neural network model (Q354294) (← links)
- Feature selection and semisupervised fuzzy clustering (Q376656) (← links)
- Linear feature-weighted support vector machine (Q376751) (← links)
- Adaptive partitioning schemes for bipartite ranking (Q413849) (← links)
- Model selection in binary and Tobit quantile regression using the Gibbs sampler (Q433242) (← links)
- Methods for pattern selection, class-specific feature selection and classification for automated learning (Q461118) (← links)
- A nonlinear model for predicting interannual changes in Calanus finmarchicus abundance in the gulf of maine (Q486016) (← links)
- Asymptotics for regression models under loss of identifiability (Q505478) (← links)
- Ensemble Kalman filtering with shrinkage regression techniques (Q536583) (← links)
- Agnostic science. Towards a philosophy of data analysis (Q538330) (← links)
- Morphological perceptrons with competitive learning: lattice-theoretical framework and constructive learning algorithm (Q545325) (← links)
- Analysis of the rate of convergence of least squares neural network regression estimates in case of measurement errors (Q553267) (← links)
- Selecting hidden Markov model state number with cross-validated likelihood (Q626234) (← links)
- Penalized multimodal mixture logit model (Q626262) (← links)
- Bayesian kernel projections for classification of high dimensional data (Q692966) (← links)
- Self-organizing map for symbolic data (Q695253) (← links)
- Optimization of nonconventional wells under uncertainty using statistical proxies (Q708064) (← links)
- The aspect Bernoulli model: multiple causes of presences and absences (Q710618) (← links)
- Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment (Q713643) (← links)
- Feature selection and machine learning with mass spectrometry data for distinguishing cancer and non-cancer samples (Q713690) (← links)
- A continuous model of the dynamical systems capable to memorise multiple shapes (Q718739) (← links)
- Assessing the pattern of covariance matrices via an augmentation multiple testing procedure (Q719007) (← links)
- Nonlinear logistic discrimination via regularized radial basis functions for classifying high-dimensional data (Q730756) (← links)
- Mining supervised classification performance studies: a meta-analytic investigation (Q734360) (← links)
- Computational evaluation of different numerical tools for the prediction of proximal femur loads from bone morphology (Q741933) (← links)
- Have I seen you before? Principles of Bayesian predictive classification revisited (Q746252) (← links)
- Secure Bayesian model averaging for horizontally partitioned data (Q746280) (← links)
- On signal representations within the Bayes decision framework (Q763367) (← links)
- Prototype selection for interpretable classification (Q765979) (← links)
- Efficient, adaptive cross-validation for tuning and comparing models, with application to drug discovery (Q766007) (← links)
- A twin-hyperspheres support vector machine with automatic variable weights for data classification (Q778452) (← links)
