Identify the kind of learning algorithm for  “facial identities for facial expressions”.

The kind of learning algorithm for "facial identities for facial expressions" would be Supervised Learning.

Here's the step by step reasoning:

1. Supervised Learning: This type of learning algorithm involves training a model on known input and output data so that it can predict future outputs. It's called "supervised" learning because the process of an algorithm learning from the training dataset can be thought of as a teacher supervising the learning process.

2. In the context of "facial identities for facial expressions", the input would be the facial expression images and the output would be the identities of the expressions.

3. The model would be trained on a dataset of facial expressions where the identities of the expressions are already known.

4. Once the model is trained, it can then be used to predict the identity of facial expressions in new, unseen images.

5. Therefore, the kind of learning algorithm for "facial identities for facial expressions" is Supervised Learning.