| How many Gaussians do we use? |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| • | Hold back a
validation set. |
||||||||||||||
| – | Try
various numbers of Gaussians |
||||||||||||||
| – | Pick
the number that gives the highest density to the |
||||||||||||||
| validation
set. |
|||||||||||||||
| • | Refinements: |
||||||||||||||
| – | We
could make the validation set smaller by using |
||||||||||||||
| several
different validation sets and averaging the |
|||||||||||||||
| performance. |
|||||||||||||||
| – | We
should use all of the data for a final training of the |
||||||||||||||
| parameters
once we have decided on the best |
|||||||||||||||
| number
of Gaussians. |
|||||||||||||||