The following pages link to Random forests (Q5952197):
Displaying 50 items.
- PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection (Q333348) (← links)
- An asymptotically optimal kernel combined classifier (Q334008) (← links)
- Supervised classification and mathematical optimization (Q339559) (← links)
- Improved nearest neighbor classifiers by weighting and selection of predictors (Q340856) (← links)
- Extensions of stability selection using subsamples of observations and covariates (Q340859) (← links)
- Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem (Q342121) (← links)
- Cellular tree classifiers (Q358883) (← links)
- Active evaluation of ranking functions based on graded relevance (Q374154) (← links)
- Rotation covariant image processing for biomedical applications (Q382704) (← links)
- Assessing lack of common support in causal inference using Bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children's cognitive outcomes (Q386729) (← links)
- A statistical view of clustering performance through the theory of \(U\)-processes (Q392047) (← links)
- Pairwise meta-rules for better meta-learning-based algorithm ranking (Q399914) (← links)
- Detecting and ordering salient regions (Q408609) (← links)
- Hellinger distance decision trees are robust and skew-insensitive (Q408688) (← links)
- Random exploration of the procedural space for single-view 3D modeling of buildings (Q408934) (← links)
- Learning by extrapolation from marginal to full-multivariate probability distributions: Decreasingly naive Bayesian classification (Q420911) (← links)
- Learning partial ordinal class memberships with kernel-based proportional odds models (Q433255) (← links)
- Parallel hierarchical sampling: a general-purpose interacting Markov chains Monte Carlo algorithm (Q434903) (← links)
- Recursive partitioning on incomplete data using surrogate decisions and multiple imputation (Q434924) (← links)
- Novel Fisher discriminant classifiers (Q437766) (← links)
- A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction (Q439474) (← links)
- Search for the smallest random forest (Q440125) (← links)
- Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes (Q441745) (← links)
- Boosting algorithms: regularization, prediction and model fitting (Q449780) (← links)
- Comment on: Boosting algorithms: regularization, prediction and model fitting (Q449783) (← links)
- Rejoinder: Boosting algorithms: regularization, prediction and model fitting (Q449785) (← links)
- An automated optimal engagement and attention detection system using electrocardiogram (Q454678) (← links)
- Random forests for genetic association studies (Q458200) (← links)
- Forecasting nonstationary time series based on Hilbert-Huang transform and machine learning (Q463396) (← links)
- Sparse regression and support recovery with \(\mathbb{L}_2\)-boosting algorithms (Q466526) (← links)
- Classification of time series by shapelet transformation (Q468669) (← links)
- Direct kernel perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation (Q470174) (← links)
- Variable selection for BART: an application to gene regulation (Q484051) (← links)
- Glucose-lactate metabolic cooperation in cancer: insights from a spatial mathematical model and implications for targeted therapy (Q485684) (← links)
- Algorithm runtime prediction: methods \& evaluation (Q490455) (← links)
- A time series forest for classification and feature extraction (Q497117) (← links)
- The configurable SAT solver challenge (CSSC) (Q502389) (← links)
- Dynamic algorithm selection for Pareto optimal set approximation (Q506461) (← links)
- A combined work optimization technology under resource constraints with an application to road repair (Q510276) (← links)
- An experience in using machine learning for short-term predictions in smart transportation systems (Q511935) (← links)
- Multi-pattern generation framework for logical analysis of data (Q513641) (← links)
- A run-length encoding approach for path analysis of \textit{C. elegans} search behavior (Q519625) (← links)
- Round randomized learning vector quantization for brain tumor imaging (Q519801) (← links)
- Application of extended Kalman filter for improving the accuracy and smoothness of Kinect skeleton-joint estimates (Q521189) (← links)
- Bayesian semi-supervised learning with support vector machine (Q537464) (← links)
- Random lasso (Q542508) (← links)
- Remembering Leo Breiman (Q542912) (← links)
- Remembrance of Leo Breiman (Q542915) (← links)
- Node harvest (Q542973) (← links)
- On the use of double cross-validation for the combination of proteomic mass spectral data for enhanced diagnosis and prediction (Q544613) (← links)
