| Line 10: | Line 10: | ||
*Introducing a loss function. | *Introducing a loss function. | ||
| − | Allowing the use of more than one feature just means that we would | + | Allowing the use of more than one feature just means that we would replace the scaler ''y'' with the feature vector '''Y''', where '''Y''' is in a d-dimensional Euclidean space <math> '''R'''^2 </math>. |
Revision as of 13:05, 1 March 2013
Bayes Decision Theory - Continuous Features
Continuing from the last essay, we will now improve on the model in the following ways:
- Allowing the use of more than one feature - Like adding the shape of the cards as another feature.
- Allowing more than two states of nature - Having a deck also containing clubs and hearts.
- Deciding more than the state of nature of the cards.
- Introducing a loss function.
Allowing the use of more than one feature just means that we would replace the scaler y with the feature vector Y, where Y is in a d-dimensional Euclidean space $ '''R'''^2 $.
