The following pages link to Kernlab (Q19942):
Displaying 50 items.
- Ensemble of optimal trees, random forest and random projection ensemble classification (Q138630) (← links)
- A generalized Gaussian process model for computer experiments with binary time series (Q153075) (← links)
- Non-crossing weighted kernel quantile regression with right censored data (Q268689) (← links)
- Clustering-based ensembles for one-class classification (Q278701) (← links)
- Deep kernel dimensionality reduction for scalable data integration (Q282928) (← links)
- ASlib: a benchmark library for algorithm selection (Q286390) (← links)
- Advances in integrative statistics for logic programming (Q324669) (← links)
- Semi-supervised learning with density-ratio estimation (Q374187) (← links)
- Wavelet kernel principal component analysis in noisy multiscale data classification (Q442616) (← links)
- Principal support vector machines for linear and nonlinear sufficient dimension reduction (Q449992) (← links)
- MIMCA: multiple imputation for categorical variables with multiple correspondence analysis (Q518262) (← links)
- Sparse modeling of categorial explanatory variables (Q542985) (← links)
- New estimators of the Pickands dependence function and a test for extreme-value dependence (Q651018) (← links)
- Bayesian kernel projections for classification of high dimensional data (Q692966) (← links)
- Classification of signaling proteins based on molecular star graph descriptors using machine learning models (Q739721) (← links)
- Clustering with the average silhouette width (Q830092) (← links)
- Kernel-based machine learning for fast text mining in R (Q962255) (← links)
- Ensemble of a subset of \(k\)NN classifiers (Q1630834) (← links)
- A multicriteria approach to find predictive and sparse models with stable feature selection for high-dimensional data (Q1664508) (← links)
- Modeling threshold interaction effects through the logistic classification trunk (Q1695093) (← links)
- Instance spaces for machine learning classification (Q1707470) (← links)
- Outlier detection using binary decision diagrams (Q1741310) (← links)
- Cluster forests (Q1800126) (← links)
- Computational complexity of kernel-based density-ratio estimation: a condition number analysis (Q1945037) (← links)
- Semiparametric regression during 2003--2007 (Q1952023) (← links)
- The empirical Christoffel function with applications in data analysis (Q2000530) (← links)
- Benchmark for filter methods for feature selection in high-dimensional classification data (Q2008133) (← links)
- Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains (Q2028883) (← links)
- Kernel machines for current status data (Q2051247) (← links)
- Global least squares path modeling: a full-information alternative to partial least squares path modeling (Q2065254) (← links)
- Model selection in reconciling hierarchical time series (Q2127263) (← links)
- High-dimensional clustering via random projections (Q2129311) (← links)
- A higher-order singular value decomposition tensor emulator for spatiotemporal simulators (Q2163486) (← links)
- Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques (Q2182781) (← links)
- \texttt{EBADIMEX}: an empirical Bayes approach to detect joint differential expression and methylation and to classify samples (Q2195276) (← links)
- How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments (Q2240005) (← links)
- Music and timbre segmentation by recursive constrained \(K\)-means clustering (Q2259692) (← links)
- Soul of the community: an attempt to assess attachment to a community (Q2282586) (← links)
- On the predictive potential of kernel principal components (Q2283584) (← links)
- A review and proposal of (fuzzy) clustering for nonlinearly separable data (Q2302802) (← links)
- Frequentist model averaging in structural equation modelling (Q2331145) (← links)
- Risk bound of transfer learning using parametric feature mapping and its application to sparse coding (Q2331678) (← links)
- Comparing the performance of linear and nonlinear principal components in the context of high-dimensional genomic data integration (Q2406189) (← links)
- Extreme logistic regression (Q2418253) (← links)
- Arbitrage of forecasting experts (Q2425238) (← links)
- A review on consistency and robustness properties of support vector machines for heavy-tailed distributions (Q2442784) (← links)
- A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: applications of the Kappalab R package (Q2462169) (← links)
- Feature clustering for instrument classification (Q2513346) (← links)
- An empirical comparison and characterisation of nine popular clustering methods (Q2673364) (← links)
- Foundations of statistical algorithms. With references to R packages (Q2871231) (← links)
