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                Classification with Hybrid Generative/Discriminative Models

                Raina, Rajat, Shen, Yirong, McCallum, Andrew, Ng, Andrew Y.

                Dec-31-2004–Neural Information Processing Systems 

                Classifiers often achieve higher test set accuracy than generative Classifiers (e.g., [6, 4, 14]).

                  artificial intelligence, machine learning, natural language, (17 more...)

                Neural Information Processing Systems

                Dec-31-2004

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                • Country:
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                    • Natural Language (1.00)
                    • Representation & Reasoning > Uncertainty
                      • Bayesian Inference (0.69)
                    • Machine Learning
                      • Statistical Learning (1.00)
                      • Learning Graphical Models > Directed Networks
                        • Bayesian Learning (1.00)

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