Questions tagged [density-estimation]

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Optimize parametric Log-Likelihood with a Decision Tree

Suppose there are some objects with features, and the target is parametric density estimation. Density estimation is model-based. Parameters are obtained by maximizing log-likelihood. $LL = \sum_{i \...
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How to estimate conditional density using neural network?

Conditional Variational Autoencoders (CVAE) and Mixture Density Networks (MDN) are supposed to address this issue. However, these models provide the distribution parameters, e.g., mean and standard ...
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Is knowing the class of probability density function mandatory for explicit density estimation?

In deep learning, models may learn the probability distribution that generated the dataset. Observe the following paragraph from Chapter 5: Machine Learning Basics from the book titled Deep Learning (...
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Simple example for average log-probability

Consider the following statements from Chapter 5: Machine Learning Basics from the book titled Deep Learning (by Aaron Courville et al.) For tasks such as classification, classification with missing ...