Sentence examples for data-driven prediction from inspiring English sources

The major advantage of the pan-specific approach is that it predicts the binding of any peptide to any present and future HLA molecule, even in absence of data specific for the query HLA molecule, whereas conventional data-driven prediction approaches are restricted to predict the binding of peptides solely to the particular HLA molecules included in the training.

So the method gives the award to Mr. Spielberg on points, but it's going to be blind luck if we get this one right: you can't claim to have a data-driven prediction when you don't have any data.

A data-driven prediction technique that uses the database of known crystal structures and substitutes ions among materials of known crystal structures to concoct new crystal structures has been proposed.

Data-driven prediction methods should be able to extract essential features from particular datasets and to discount unwanted information.

We present a new approach to the study of the immune system that combines techniques of systems biology with information provided by data-driven prediction methods.

Data-driven prediction of the system components and their component interplays that are responsible for the target system's phenotype is a key and challenging step in this endeavor.

Data-driven predictions can succeed — and they can fail.

Two different data-driven approaches to prediction and optimization are used to demonstrate the methodological flexibility: (i) a combination of Bayesian regularized neural networks with genetic algorithm based optimization, and (ii) a reinforcement learning based control logic using fitted Q-iteration are both successfully applied.

Therefore we committed to two principles before starting the analysis: (1) let the data drive the prediction process and (2) do not correct our predictions based on any particular biological knowledge.

In order to facilitate such prediction, we employ an auto-regressive moving average (ARMA) model along with data-driven techniques, and compare the performance of multiple data-driven techniques.

An on-line adaptive data-driven prognostics strategy is proposed with five various optimized on-line prediction algorithms based on Online SVR.