Sentence examples for predictions that use from inspiring English sources

Further work will experimentally compare and contrast predictions that use the self-history of what a person typically does with predictions that use the combined histories of what people typically do in other scenarios.

The experimental shear-band spacings are compared with theoretical predictions that use the perturbation analysis and momentum diffusion; the shortcomings of the latter are discussed.

We note that two PSI predictions are included in the model's output so we have a complete set of predictions that use the full input features.

We compared those predictions and detections with similar predictions that use the same method applied to the clinical data alone without referencing any other data streams.

In addition, we compare these predictions, which we term auto predictions, with similar predictions that use the same method applied to the clinical data alone without referencing any OTC channels.

Establishing homology is central to a wide array of bioinformatics methodologies; improved domain alignments can improve 3D protein structural predictions that use homology modeling, and also clarify how protein domain networks interact to generate disease phenotypes.

At each iteration, the following steps were taken to cross-validate our primary models (similar steps were followed to derive cross-validated predictions that used PLS only): PLS was fit using the training set, and K scores were computed for the test set, for K = 1,...,10.

We proposed an ensemble-based procedure for obtaining census predictions that used seasonality adjusted PAR model to model arrival trends in the NICU and stratified conditional logistic regression models incorporating baseline and time-dependent covariates for modeling the probability of departure.

We propose algorithms for link prediction that use a probabilistic ontology to enhance the analysis of the domain and the unavoidable uncertainty in the task (the ontology is specified in the probabilistic description logic cr(mathcal{ALC })).

To fight this, he says, companies need to incorporate "nowcasting" — or realtime prediction — that uses algorithms to actually track and make predictions based off data being produced by individual clouds.

In this regard, the current work presents a model for intraday stock price prediction that uses singular spectrum analysis (SSA) and support vector regression (SVR) coupled with particle swarm optimization (PSO).