The phrase "accommodate predictions" is correct and usable in written English.
You can use it when discussing the ability of a system, model, or process to adjust or adapt to forecasted outcomes or expectations.
Example: "The new software is designed to accommodate predictions about user behavior, allowing for a more personalized experience."
Alternatives: "adapt to forecasts" or "adjust to projections".
We then take account of the short-term traffic variation in order to accommodate prediction uncertainty incurred by temporal traffic changes and prediction errors.
Quantitative annotations from multiple sources: A unique feature of FuncBase is its ability to accommodate prediction sets from multiple bioinformatics teams differing by input data or algorithm.
Although these kinds of model are powerful in accounting for a wide array of behavioral and neural data, including differences in learnability ("salience"), they require an important modification to accommodate absence predictions due to unpaired odor/reward training.
The model is adapted at each control cycle to a particular subject by modifying two model parameters representing unexplained glucose flux to accommodate the prediction error and meal carbohydrate bioavailability.
Recent advances in ROPE further expand its capability to accommodate sub-pixel prediction [14] and burst packet loss [15].
Recent advances in ROPE further expand its capability to accommodate sub-pixel prediction [15], bursty packet loss [16].
However, if proprioceptive precision is higher, then proprioceptive prediction errors may well be resolved by changing top-down predictions to accommodate the fact that no movement is sensed.
This process will ensure that we identify any evidence of overfitting to the original dataset (that is producing estimates that are a good fit to the developmental data but perform poorly in prediction) and accommodate this by reporting shrunken regression coefficients (38).
Today's yields offer precious little cushion should inflation turn out higher, growth stronger or central banks less accommodating than current predictions.
This suggests that unknown cryptic genetic architectures are likely to be intrinsic to complex traits and, hence, kernels that can accommodate such structure yielded better predictions.
