Sentence examples for predictions and propose from inspiring English sources

In this paper, based on our previous work [7], we intend to work on more domains of psychological characteristics predictions and propose some new local regression transfer learning methods, including training-test k-NN method and adaptive k-NN methods, which are more effective and can adaptively set the unknown parameter in prediction functions.

Through sensitivity and flux analyses, we identified several rate parameters which are influential to burning velocity predictions, and proposed reasonable adjustments to these parameters either based on new experimental measurements or by considering their associated uncertainties.

CL analyzed the predictions and proposed the putative function of genes in the immunity pathways.

The new information provides the basis for further exploration of the BHT including new predictions and proposed relatively simple experiments to test them.

We adopt motifs-based Dynamic Bayesian Networks (or m_DBNs) model to perform one-step-ahead time series prediction, and propose a multi-steps trajectories DBNs (or multi_DBNs) model to further revise the future reliability prediction.

In this paper, we study how to integrate multiple functional networks for accurate protein function prediction and propose a method called MNet.

The aim of this study is to examine the capability of existing prediction measures and propose some future scopes.

In this paper, we analyze typical online performance prediction scenarios and propose a performance meta-model for (i) expressing and resolving parameter and context dependencies, (ii) modeling service abstractions at different levels of granularity and (iii) modeling the deployment of software components in complex resource landscapes.

A dynamic model was developed using two back-propagation neural networks of the same structure, one for online training and the other for prediction, and proposed for continuous dynamic prediction of the time series of NPP operating parameters.

This paper, in particular focuses on the prediction issues and proposes the concept of Hierarchical Prediction Model for its realization where we attempt to construct a prediction model, which actively incorporates partially known environmental knowledge and reflects reasoning results of the conditionally dependent behavior pattern.

In Section 2, we introduce the system overview considering the task and application model, prediction model, and proposed framework for our task allocation scheme in EH-WSNs.