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Margin classifier Gradient boosting Neighbourhood components analysis Label propagation algorithm Decision tree learning Statistical learning theory Margin Probabilistic neural network Hierarchical dirichlet process Best linear unbiased prediction Association rule learning Conformal prediction Relevance vector machine Quantum machine learning Perceptron Nonlinear mixed-effects model Linear classifier Maximum likelihood estimation Supervised learning Nearest centroid classifier System identification Nested sampling algorithm Feature learning Sequence labeling Recursive partitioning Markov chain monte carlo Bayes classifier Junction tree algorithm Linear least squares Platt scaling Linear trend estimation Graph neural network Ordinary least squares Manifold regularization Quantile regression Optimal estimation Multivariate analysis of variance Statistics Probabilistic classification Statistical shape analysis Mean absolute percentage error Marginal structural model Predictive modelling General regression neural network Hyperloglog Latent class model Log-linear analysis Hyperparameter Backfitting algorithm Feature Hinge loss Principal component regression Approximate bayesian computation Sequential minimal optimization Topological data analysis Kernel smoother Nearest-neighbor chain algorithm Empirical risk minimization Mean absolute scaled error Learning rate Dynamic causal modeling Adjoint state method Mean shift Quadratic classifier Semi-supervised learning Deep reinforcement learning Kernel regression Knowledge distillation Mathematical statistics Index calculus algorithm Gaussian random field Generalized linear model Numerical method Delta rule Em algorithm and gmm model Logsumexp Exploratory factor analysis Sample complexity Statistical inference Method of mean weighted residuals Engineering statistics Inverse distance weighting Latent growth modeling Bayesian structural time series Generalized method of moments Interval estimation Bayesian vector autoregression Probabilistic programming Regularized least squares Nearest-neighbor interpolation Bayesian knowledge tracing Ratio estimator K-nearest neighbors algorithm Multi-objective linear programming Odds algorithm Conditional random field Nearest neighbour algorithm Large eddy simulation Gradient method Discriminative model

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