Sentence examples for tables models and from inspiring English sources

SoleaDB was built using Ruby On Rails 2.0 (http://rubyonrails.org/) that allows the use of a model-view-controller pattern to maintain strict separation between the web interface (views) code, database tables (models), and all methods that handle interactions between views and database (controllers), as well as testing and production environments for each development phase of the database.

The EuroPineDB was built using Ruby On Rails 2.0 http://rubyonrails.org/, a web development framework that uses a model-view-controller pattern to maintain strict separation between the web interface (views) code, database tables (models), and all methods that handle interactions between views and database (controllers).

It is now possible to factor the effects observed during in vitro fertilization experiments into the available fish life-table models, and this development has been identified as a key science need.

However, taken together, it could be concluded that lag is not an important input variable for the fine particle life-table models and therefore it could be ignored in future analyses.

These results provided valuable information on the relative importance of different input variables in the life-table model and make it possible to focus on those variables and uncertainties that have the highest impact on to life-table model results and, thus, on decision making.

The conditional probability tables, model predictions, and management recommendations were compared and shown to be different among models.

To achieve these goals, shaking table model tests and laboratory shear tests were conducted by taking fill dams as an example target structure.

These are Linear Regression (LR), Multi Layer Perceptron (MLP), Pace Regression (PR), KStar, Regression by discretization (RD), Random SubSpace (RS), M5P, RepTree and Decision Table models.

These results are shown in Tables 2 and 3 (univariable models), and Table 4 (multivariable models).

In the table, model prediction precision and accuracy are evaluated by relative root mean square error (RMSE %) and relative mean difference (D %).

The third tab shows plots of the data and links to download the plots, the results tables and model output ('Figures and downloads' section).