Sentence examples for learning formulations from inspiring English sources

Results demonstrate the effectiveness of the proposed multi-task learning formulations for disease progression in comparison with single-task learning algorithms including ridge regression and Lasso.

Following this task relatedness assumption, two multi-task learning formulations based on one-class support vector machines (one-class SVM) are presented.

Specifically, we formulate the prediction problem as a multi-task regression problem by considering the prediction at each time point as a task and propose two novel multi-task learning formulations.

Here, the rate constant corresponds to a learning rate in conventional (reinforcement learning) formulations.

Step 1: PU computes the revenue of serving new SUs based on the reward function as described in 'Reinforcment learning formulation for spectrum trading' section.

In our scheme, spectrum is shared among PUs as follows: Step 1: PU computes the revenue of serving new SUs based on the reward function as described in 'Reinforcment learning formulation for spectrum trading' section.

This research focuses on facial attribute prediction using a novel deep learning formulation, termed as R-Codean autoencoder.

Since the proposed classification-based formulation involves a class-specific weight which varies according to the total number of genuine-users and imposters, an online learning formulation becomes non-trivial.

In the detailed implementation, a quality-aware regularization term is added to the traditional dictionary learning formulation, such that a feature-aware dictionary and a quality-aware dictionary can be learned jointly.

The method can be interpreted as a generalization of the transductive multi-label learning formulation.

Instead of training drug-specific models separately, we choose to solve this problem with a multitask learning formulation by considering each drug as a distinct task and learning a unified model for all tasks conjointly.