The phrase "a model that generates" is correct and usable in written English.
You can use it when describing a model or system that produces or creates something, such as data, predictions, or outputs.
Example: "The research team developed a model that generates accurate forecasts for climate change."
Alternatives: "a model that produces" or "a model that creates".
Specifically, DBN learns a model that generates input data, which can obtain more intrinsic characteristics of the input, thus improving classification accuracy eventually.
We demonstrate how we exploited knowledge to develop a model that generates accurate predictions of the evolving performance of football teams based on limited data.
If the startup wasn't trying to triple an already ambitious valuation, they could proceed prudently, reject investments that don't sufficiently return and harden their best thesis into a model that generates high-confidence results.
Drug similarity based on 3D structure was integrated into the target ChEMBL data through a model that generates all possible drug-target combinations with an associated scoring (3D score).
In this paper, we present a model that generates collections of documents consistently with all of the above statistical features of textual corpora, and validate it against large and diverse Web datasets.
Thus, the challenge when using an agent-based modeling approach is not how to exhaustively map a study animal's habitat but, instead, how to statistically characterize the inherent properties of that habitat and incorporate them into a model that generates realistic resource distributions.
Since it is not desirable to benefit one correction procedure by the type of model used for simulation, two models were used for the present study: One model that generated eyeblinks by assuming a component model, and a model that generated eyeblinks by means of regression (i.e. propagation).
In the auto-scaling domain, a regression model that generates a greater number of small errors (function f in Fig. 12) is more desirable than a regression model that generates a fewer number of the large errors (function g in Fig. 12).
The discriminant analysis, a predictive model that generates a function based on linear combinations of the predictor variables, provided the best discrimination between controls with respect to the group of deteriorated patients.
It's a business model that generates a lot of free cash flow.
To test the exponential decay scenario further we consider a simple model that generates a rapidly decelerating exit rate using individual variation in intrinsic exit probabilities in which independent 'decay' events are equivalent to exits.
