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Polynomial kernel Kernel embedding of distributions Radial basis function kernel Neural tangent kernel Perceptron Kernel density estimation Feature learning Relevance vector machine Probabilistic classification Probabilistic neural network Helmholtz machine Cover's theorem Fisher kernel Restricted boltzmann machine Deep belief network M-theory One-class classification Instance-based learning Nearest centroid classifier Recursive neural network Knowledge graph embedding Kernel regression K-means clustering Generalized hebbian algorithm Markov kernel Delta rule Sequential minimal optimization Linear predictor function Sequence labeling K-nearest neighbors algorithm Multi-label classification Backpropagation Manifold regularization Kernel Representer theorem Quadratic classifier Graph neural network Platt scaling Multiclass classification Recurrent neural network Linear discriminant analysis Radial basis function network Latent dirichlet allocation Margin classifier Supervised learning Quantum phase estimation algorithm Probabilistic turing machine Reservoir computing Nonlinear regression Recursive bayesian estimation Numerical linear algebra Random forest Logsumexp Nested sampling algorithm Extended kalman filter Physics-informed neural networks Gradient boosting Feature hashing Conformal prediction Random subspace method Recursive least squares filter Reinforcement learning Dirichlet kernel Hierarchical dirichlet process Learning rate Confusion matrix Softmax function Poisson kernel Structured prediction Feature selection Covariance function Generalized additive model General regression neural network Large margin nearest neighbor Linear classifier K-svd Kernel smoother Deep reinforcement learning Ensemble learning Learning curve Label propagation algorithm Transition kernel Sample complexity Feature extraction Evolutionary algorithm Flow-based generative model Grammar induction Conditional random field Regression analysis Lasso Activation function Naive bayes classifier Siamese neural network Approximate bayesian computation Reproducing kernel hilbert space Quantum machine learning Kriging Positive-definite kernel Truncated newton method Statistical learning theory

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