Sentence examples for model without needing from inspiring English sources

Synthesis is only based on the model without needing to reuse any motion segment from the original database.

Moreover, online travel booking is a relatively painless e-commerce model without needing to move a single atom in the undeveloped and scattered logistics landscape.

Finally, this separation of the agent's aspects into assets, behaviours and data, allows starting an implementation of a model without needing access to all the required information, whether it is data, assets or even a rule that defines the agents' behaviour.

Thus, through a machine-learning method, i.e., the BLR classifier, the extracted features can be clearly used to train the classification model without needing to know the exact cutoff values.

He adds that better services showcasing 3D designs and sparking people's imagination will also be important, as well as tools to help them create their own models without needing a training in computer-aided design (CAD).

Thus, an ideal analysis procedure would operate directly on B-rep CAD models, without needing a secondary mesh, and would procedurally unify the geometric operations during CAD as well as CAE stages.

Now Canadian startup Pocketop has taken a new approach, creating a single keyboard that works on several different PDA models without needing that physical connection at all.

These properties would exist as part of the data model without need for additional semantics in the identifiers.

For research purposes in the setting of rare congenital abnormalities this may also be important, since uncommon anomalies can be modelled, observed and categorised, without needing to retain either the fetus or organ, and precise replicas of rare findings could be produced multiple times and therefore shared across many training centres.

The main advantage of this approach is that multiple model parameters can be learned efficiently from the data without needing to evaluate model performance across a range of parameter settings.

One benefit of such approaches is that they can capture unexpected allele sharing without needing to model the complexities of human demographic history, as we demonstrated by showing that African haplotypes can improve imputation accuracy in Europeans.