PanYaa

There are several tutorials on how to perform this calculation. I like to add the technique I use with MATLAB recently. Basically, Imagine y...

The (log) probability function $p({\bf x}|\theta)$ assigns a probability (density) to any joint configuration of variables $\bf x$ given fix...

There are 4 basics problems in machine learning community: density estimation , clustering , classification and regression . These problem...

Usually, when we have data, we want to know what (parametric) model did the data come from. In other words, we want to do model fitting to t...

In maximum likelihood estimation (MLE), if we let $Y_1,...,Y_n$ be n independent random variables (r.v.'s) with probability functions ...

Model-Based Clustering ( MBC ) assumes that the data comes from several subpopulations, each is model separately by $g_k({\bf x}; {\bf \the...

Let's start from something easier to understand. We know from the " likelihood ratio approach to classification " that \[P({...