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Chapter and Conference Paper
A Specialized Probability Density Function for the Input of Mixture of Gaussian Processes
Mixture of Gaussian Processes (MGP) is a generative model being powerful and widely used in the fields of machine learning and data mining. However, when we learn this generative model on a given dataset, we s...
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Chapter and Conference Paper
An Effective Model Selection Criterion for Mixtures of Gaussian Processes
The Mixture of Gaussian Processes (MGP) is a powerful statistical learning framework in machine learning. For the learning of MGP on a given dataset, it is necessary to solve the model selection problem, i.e.,...