Regression
17 methods in the atlas attack this one problem. They are rivals: each wins something the others do not.
Phrasings that mean this problem
Linear regressionRegularized regressionSparse regressionOutlier-resistant regressionConditional-quantile regressionCorrelated-error regressionKernel regressionProbabilistic regressionProbabilistic kernel regressionHeavy-tailed regressionVector-valued regressionContinuous predictionRegularization pathGeneralized linear models
gaussian-processes
- Gaussian process regressionRBF kernelcanongaussian-processes
- Gaussian process regressionMatern kernelstandardgaussian-processes
- Student-t processstandalonespecialistgaussian-processes
- Multi-output Gaussian processCoregionalizationspecialistgaussian-processes
kernel-methods
- Support vector regressionEpsilon-insensitive lossstandardkernel-methods
- Kernel ridge regressionstandalonestandardkernel-methods
- Relevance vector machineSparse Bayesian kernelsspecialistkernel-methods
machine-learning
- Linear regressionOrdinary least squarescanonmachine-learning
- Ridge regressionL2 penaltycanonmachine-learning
- Lasso regressionL1 penalty via coordinate descentcanonmachine-learning
- Elastic netMixed L1-L2 penaltystandardmachine-learning
- LARSLeast-angle pathspecialistmachine-learning
statistics-inference
- Ordinary least squaresNormal equationscanonstatistics-inference
- Generalized least squaresstandalonespecialiststatistics-inference
- Iteratively reweighted least squaresstandalonestandardstatistics-inference
- Quantile regressionPinball lossstandardstatistics-inference
- Robust regressionHuber M-estimationstandardstatistics-inference