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Special Events Seminar

Learning Approaches for the Tree Augmented Naive Bayes Classifier
Thursday, December 1, 2022
2:00-3:00 PM
10th Floor Weiser Hall Map
This talk will review the classical tree augmented naive Bayes classifier (TAN) and then present two alternative learning approaches. The first approach automatically controls the number of edges supported by the training examples in the Bayesian network classifier by adopting a Bayes factor strategy, yielding more realistic network structures. In the second approach, we construct TAN classifiers without estimating conditional mutual information. Instead, the model learns the weights from the data using an evolution strategy to obtain a good classification performance. Applications of these learning approaches will be presented for Twitter sentiment analysis and Orthodontics. Speaker(s): Gonzalo Ruz (Universidad Adolfo Ibáñez)
Building: Weiser Hall
Event Type: Workshop / Seminar
Tags: Mathematics
Source: Happening @ Michigan from Department of Mathematics, Special Events - Department of Mathematics