Sentence examples similar to predictive modeling systems from inspiring English sources
If we correctly identify toxic agents (using animals and other predictive model systems) in advance of a product or agent being introduced into the marketplace or environment, generally it will not be introduced.
Characterization of the antibody response to the same Pfs25 immunogen in humans will be an important next step to compare and further validate the Kymouse as a predictive model system to evaluate immunogenicity of TBV candidates.
The Automated Predictive Modeling, another modeling system [28], demands expert technical skills and significant resources for model development and maintenance.
The need to understand both thermal impacts and receiving water biogeochemical impacts and associated ecological and health risks under highly variable transient conditions on seasonal to annual time scales necessitates the use of predictive multidimensional modeling systems.
Many scientists build predictive models of systems without any pretense that these models in fact reveal the causal structures by which the systems work.
The average information worker can sometimes use business intelligence tools to gain insight into past performance, but predictive models and systems that make decisions for employees are not yet a reality.
The results capture emerging trends in the system that may not be obvious without a systemic analysis and capture gaps in existing predictive models of system performance.
In one approach, predictive models of system failure are constructed from the topology of the system and local component failure models using a process of composition.
The latest advance has been in data-driven discovery, or "data science": using extensive data sets and advanced statistical methods to derive predictive models of system behavior.
Developing such predictive models of system behavior is a common application of machine learning techniques.
After selecting the subset of features to include in the predictive model, scoring system performance was assessed by five-fold cross-validation, randomly dividing the sample into five roughly equal non-overlapping subsamples.
