A relevant algorithm is a potential candidate for use in modern systems.
- used by
- ALG_Actor-critic ALG_Adaptive resonance theory network ALG_Association rule learning ALG_Autoencoder ALG_Averaged one-dependence estimators ALG_Bayesian linear regression ALG_Bayesian network ALG_Convolutional neural network ALG_DBSCAN ALG_Decision tree ALG_Deep Q-network ALG_Discriminant analysis ALG_Expectation maximization ALG_Factor analysis ALG_Hierarchical clustering ALG_Latent semantic indexing ALG_Learning Vector Quantization ALG_Least Squares Regression ALG_Local outlier factor ALG_Local regression ALG_Logistic regression ALG_Long short-term memory network ALG_Markov random field ALG_Monte-Carlo tree search ALG_Multidimensional scaling ALG_Multivariate adaptive regression splines ALG_Naive Bayesian Classifier ALG_Nearest Neighbour ALG_Neural actor-critic ALG_Perceptron ALG_Policy gradient estimation ALG_Principal component analysis ALG_Probabilistic latent semantic indexing ALG_Projection pursuit ALG_Q-learning ALG_Radial basis function network ALG_Random forest ALG_Restricted Boltzmann machine ALG_SARSA ALG_Spherical k-means ALG_Support vector machine ALG_Temporal difference learning ALG_k-means ALG_k-medians ALG_k-medoids SPT_Bagging SPT_Boosting SPT_Elastic net SPT_Evolutionary selection SPT_LASSO SPT_Locally weighted learning SPT_Ridge regression SPT_Stacking