Sentence examples for predictions from which from inspiring English sources

These models will facilitate early predictions from which investment and management decisions can be made for kauri forestry in New Zealand in the future.

The first run of ReLA on these 44 regions generated 40 predictions, from which 11 (28%) overlapped with the annotated enhancer.

One of many examples is that of Velliste et al. (2008), who controlled robotic arm movements with electrodes implanted in macaque M1, using the population vector of neuronal activity to represent proprioceptive predictions, from which a robot-derived motor commands to drive movement of its shoulder, elbow and wrist using inverse kinematics.

We will make clear in the simulations below which components are necessary for which results, and in the discussion which predictions follow from which hypotheses.

The linear prediction matrices for the four features are combined to find the same set of linear prediction coefficients, from which we estimate the spectrum of the DNA sequence and detect exons based on the 1/3 frequency component.

Here is a set of predictions from 2013 which predicted pretty fast adoption - but even these are being surpassed.

The core of the prediction framework, from which various libraries and external programs are called, is implemented in Java.

Therefore, we adopted kernel methods for prediction purposes, from which a biological interpretation is available with less difficulty.

León et al. [ 27] developed and validated a risk prediction model from which they derived a bedside scoring system to inform early antifungal treatment in nonneutropenic critically ill patients.

A ML model was created using three more variables, namely presence of seizure activity, confusion and clinical signs of skull fracture.> Two receiver operating characteristic (ROC) curves shown in Figure  2 were drawn using both prediction models, from which ML method was observed to outperform logistic regression method.

But officials now warn that, even with special courses and attention, many of those staying will lack suitable labor skills — a shift from initial buoyant predictions from industry, which needs workers.