Sentence examples for inputs of predictions from inspiring English sources

We show that temporally similar areas of the city can be successfully used as inputs of predictions of the visit patterns of new venues, with an improvement of 41% compared to a random selection of wards as a training set for the prediction task.

For example, only the last two (measured or predicted) samples are here considered as the inputs of the prediction algorithm.

BS: Biosignature size defined as the number of inputs to prediction models based on two schemes: individual gene (EDQ and DE models) and integrated gene neighborhood input representations.

Lastly, "nonepitope" residues obtained in the above step were removed in the surface of antigen, and this preprocessed antigen would be taken as the input of epitope prediction module.

Although the microsomal data serve as the input for prediction of hepatic metabolism, the uptake and transport studies in the microsomes focused on physiological molecules, and the data on chemicals are rather scarce.

Evaluated on 52 protein chains using leave-one-out cross validation (LOOCV) and an independent test set of 14 protein chains, the two-level approach consistently improves the conventional direct approach in prediction accuracy, with 80% reduction of input for prediction.

The model inputs the predictions of an occupancy model and employs random sampling over the learned plug load patterns to generate plug load forecasts.

2 These descending signals are either predictions of proprioceptive input or predictions of precision or gain (see Fig.  2 and the " Discussion" for explication of the latter).

A tool for this customization is bootstrapping, which enables the estimation of the variances of predictions for inputs not yet simulated.

Using the 533 gene probes as input to Prediction Analysis of Microarrays (PAM), 27 gene probes were found to optimally predict treatment with tPA (Additional File 3).

The BM method takes all available prior information on model inputs and outputs and, where available, likelihood functions for data and generates posterior distributions of model inputs and outputs through statistical comparisons of predictions with data.