Various multi-task and transfer learning methods are used to augment the feature space and preprocess the input data.
The first and second temporal derivatives of the curl maxima values and the curl peak areas were used to augment the feature vector.
The lack of sufficiently large amounts of annotated data necessitates the use of transfer and multi-task learning approaches to augment the feature space and to preprocess the data.
To that end, one has to augment the feature vectors entering the GLM by time-shifted versions of those features, i.e. including not only present cell density, but also densities at previous timepoints, and fits the model as proposed.
Therefore, augmenting the feature space with such external knowledge should improve accuracy of income prediction.
Keeping augmenting the feature set iteratively in this greedy fashion, we stop until cross-validation error estimates are minimized.
The Six types of new features section describes our novel features, which will be used to augment the baseline feature set (see the Baseline temporal relation classifier section) to train each of the four specialized classifiers mentioned above.
The only forward for non-platform vendors is to augment with the features above, says Nathan.
Instead of just augmenting the technical features of a product, today's AI and Machine Learning technology augments the user's workflow.
To resolve context feature bias, a method to augment the source and target feature space with three duplicate copies of the original feature set is proposed.
