Sign in

Property testing in graphical models: testing small separation numbers

By Luc Devroye and others
In many statistical applications, the dimension is too large to handle for standard high-dimensional machine learning procedures. This is particularly true for graphical models, where the interpretation of a large graph is difficult and learning its structure is often computationally impossible either because the underlying graph is not sufficiently sparse... Show more
May 16, 2024
=
0
Loading PDF…
Loading full text...
Similar articles
Loading recommendations...
=
0
x1
Property testing in graphical models: testing small separation numbers
Click on play to start listening