Sentence examples for embed the model from inspiring English sources
Various ways for deploying the predictive model are sharing the model, score the model, incorporate the model in a BI report, embed the model in application [8].
Scaling the species numbers and the rate constants by powers of the scaling parameter, we embed the model into a one-parameter family of models, each of which is a continuous-time Markov chain.
Thanks to this, one can develop a space-less version of a model (which is natural when exploiting some form of proteomic data), and, in a second step, embed the model by building ad hoc geometries, channels and translocation rules.
The four principles arrived at were to: (a) embed the model into existing systems; (b) establish clear guidelines for clinical decisionmaking and care pathways; (c) use a change management framework during the implementation phase; and (d) provide training and capacity building to staff.
The KAPTUR project sought to: "investigate the current state of the management of research data in the arts; develop a model of best practice applicable to both specialist arts institutions and arts departments in multidisciplinary institutions; and to apply, test and embed the model with four institutional partners (http://www.vads.ac.uk/kaptur/about.html)".html
These comparisons also yield pairwise weighted distance metrics that are used to embed the models into an N-dimensional space where N is the number of models.
Visitors will be able to upload and convert their own photos into 3-D models and store them in a gallery area, and Freewebs members will be able to embed the models in their own Web pages.
Basildon and Thurrock University Hospitals NHS trust has already rolled out its e-board to all 20 wards and is now in the process of embedding the model into its new patient administration system.
The visibility precomputation phase first subdivides the model into cells by partitioning the space embedding the model along the planes of large opaque polygonal occluders, such as walls, floors, and ceilings.
It embeds the model training into the selection process and simple greedy search is performed based on F-score ranking.
In this paper, the over-fitting problem can be relieved by embedding the model dynamics, the mass and energy balance constraints into our constrained optimization algorithms.
