Archives for Forward selection


Hinton’s experiments found that the FF algorithm had a 1.4 percent test error rate on the MNIST dataset which is just as effective as backpropagation and the two are comparable on the CIFAR-10 dataset
The post Hinton’s Forward Forward Algorithm is the New Way Ahead for Neural Networks appeared first on Analytics India Magazine.


The Incremental Forward Stagewise algorithm is a type of boosting algorithm for the linear regression problem. It uses a forward selection and backwards elimination algorithm to eliminate those features which are not useful in the learning process with this strategy it builds a simple and efficient algorithm based on linear regression

