Sentence examples for constraints for classification from inspiring English sources

Detection of plasma membrane Y1 YFP fluorescence was minimized because of the size and intensity constraints for classification.

Moreover, all models contain constraints concerning classification limits for each node.

Within the context of decision-support tools based on mathematical programming techniques, this contribution presents a procedure for constraints identification and classification.

Moreover, high dimensionality imposes additional computational constraints on directly using the diffusion states as features for classification or regression tasks.

In practice, it is often useful to employ a threshold constraint, like a minimal necessary chain length, as a lower boundary for classification.

The algorithm is extended to allow for stability constraints based on classification of candidates by comparing with data from Monte Carlo simulations.

Normalized ΔCt data were used for classification.

This concatenated feature was used for classification.

‡p<0.01 for classification index.

The decision function for classification of unseen examples is defined as: where K (x i· x j ) is the kernel function, and the parameters are resolved by maximizing the following: with the following constraints: C is the regularization variable that directs the trade-off between margin and classification error.

p = 0.008 for classification index.