The phrase "and with a probabilistic" is not complete on its own, but it can be correct and usable in written English when part of a larger context.
You can use it when discussing concepts related to probability, statistics, or uncertainty in various fields such as mathematics, data science, or machine learning.
Example: "The model was designed to predict outcomes and with a probabilistic approach, it can account for various uncertainties in the data."
Alternatives: "using a probabilistic method" or "employing a probabilistic framework".
The Resilience Articulation Point (RAP) model aims at provisioning researchers and developers with a probabilistic fault abstraction and error propagation framework covering all hardware/software layers of a System on Chip.
Hence, this study proposes a mechanistic approach where the hard nature resulting in high radial forces is analytically studied and coupled with a probabilistic model where the heterogeneous nature of CMCs is taken into consideration.
Models such as this, which start with scenes and end with a probabilistic prediction of behaviour, are likely to be increasingly useful for understanding 3D vision.
We also describe two algorithmic improvements to the original algorithm, including propagation from multiple homologs of the query and better normalization of ranking scores, that lead to higher accuracy and to scores with a probabilistic interpretation.
Neither approach yields a relationship between genotypic similarity and phenotypic similarity with a probabilistic interpretation corresponding to a generative model.
The LiDAR uncertainties were quantified and applied together with a probabilistic representation of uncertainty thresholded at a conservative 95% confidence interval.
A Markov model was built based on effectiveness and cost data, complemented with a probabilistic sensitivity analysis.
Combining protein interaction and gene expression data with a probabilistic generative model improves discovery of modules compared to approaches based on either data source alone.
Second, we have assessed the predictive power of several sequence based features, and achieved superior prediction accuracy through integration with a probabilistic framework and intelligent feature selection.
The Bayesian probabilistic network method [ 2] can integrate multiple sources of observed information such as gene expression, known transcription factors, and known DNA binding motifs with a probabilistic inference framework to infer co-regulated genes and their putative regulators – transcription factors.
