Hi Kyle,
We use binary features for computer vision and speech recognition. The
Bernoulli mixture model is the basic workhorse for performing
classification and learning mid-level features. We've done preliminary
work on using it to build multi-layered networks. It's been used by others
in a de
This sounds interesting - what do you normally use it for? Do you have
any references for papers to look at?
On Wed, Aug 27, 2014 at 12:44 PM, Mark Stoehr wrote:
> Hi scikit-learn,
>
> Myself and a colleague put together an implementation of the EM algorithm
> for mixtures of multivariate Bernoul
Hi scikit-learn,
Myself and a colleague put together an implementation of the EM algorithm
for mixtures of multivariate Bernoulli vectors (the algorithm in Chris
Bishop's "Pattern Recognition") which is useful for classification and
clustering of binary data. We have based the implementation on t
