Sentence examples for predictions where from inspiring English sources

The hypothesis that network structure, network plasticity and environment frequency predict population variation generates testable genomic predictions where these factors are known.

Predictive data mining offers variety of methods for solar radiation predictions where artificial neural network is one of the reliable and accurate methods.

Pocket prediction results were divided into different categories for quality assessment: Correct predictions were termed "TOP1-hits" whereas "TOP3-hits" are predictions where the respective ligand is found within the three largest predicted pockets.

We perform online predictions where we fit the data up to step n, and then predict the next location at step (n+1) using a multinomial logistic regression model; classes are simply the set of all possible places visited so far.

StackingC employs a linear regression scheme to merge the predictions: the final predicted probability of a label is the linear combination of the probabilities predicted by participating algorithms; in other words, it is a weighted average of predictions where the weights for participating algorithms were learned from the training set through a nested cross-validation process.

Perhaps not surprisingly, the group this time around was unwilling to venture a guess on that staple of all market predictions: where the Standard & Poor's 500-stock index will end the year.

There are a) Point predictions: Where will the planet Mars be on October 21st, 2300?

Our sp2/sp3 ratios are close to experimental predictions where available.

The effective mechanical properties have been determined through uniaxial compression testing and compared to numerical and analytical predictions where differences were observed.

The hypothesis underlying the empirical investigation derives from theoretical predictions where migrants are supposed to save more in case their migration plans are temporary.

Matthew's correlation coefficient (MCC) is defined as follows: MCC is used to measure prediction performance with the consideration of both under- and over-predictions, where MCC = 1 denotes a perfect prediction, MCC = 0 indicates a completely random assignment, and MCC = -1 means a perfectly reverse correlation.