Alternative names (4)
estimationMethod • inferenceMethods • inferredFrom • infersRandom triples
| Subject | Object |
|---|---|
| gptkb:Conditional_Random_Fields | belief propagation |
| gptkb:Watson_Personality_Insights | personality characteristics |
| gptkb:Dirichlet_Process_Mixture_Model | gptkb:Gibbs_sampling |
| gptkb:Multiple_linear_regression | Maximum likelihood estimation |
| gptkb:Markov_network | mean field approximation |
| gptkb:Gaussian_processes | Bayesian inference |
| gptkb:Bayes_nets | variable elimination |
| gptkb:Bayes_net | sampling methods |
| gptkb:Dark_Matter | gptkb:Bullet_Cluster_observations |
| gptkb:Markov_networks | belief propagation |
| gptkb:conditional_random_field | gptkb:Viterbi_algorithm |
| gptkb:factorial_hidden_Markov_model | expectation maximization |
| gptkb:Markov_network | gptkb:Gibbs_sampling |
| gptkb:Transit_photometry | orbital period |
| gptkb:Latent_Dirichlet_Allocation | variational Bayes |
| gptkb:Bayesian_Networks | exact inference |
| gptkb:Loan_Loss_Allowance | Historical loss experience |
| gptkb:Watson_Personality_Insights | needs |
| gptkb:Markov_Logic_Network | gptkb:Markov_Chain_Monte_Carlo |
| gptkb:IBM_Watson_Personality_Insights | consumer needs |