Sentence examples for input specifications for from inspiring English sources

Figure 12 Input specifications for additional semantical relationships.

In the MapReduce framework, the split size of input files and of InputFormat describes input specifications for a MapReduce job.

The input specifications for optimization are: maximum useable energy (35 kW h), rotational speed (15,000 rpm), height, and inner radius.

The server accepts input specifications for a structure and a single amino acid mutation and outputs a prediction of whether or not the mutant protein is impaired, as well as associated justifications and altered features (Karchin et al. 2005; Pieper et al. 2004).

The language is designed to support dynamic monitoring of temporal properties at simulation runtime, as well as to provide the input specification for formal property checking.

In this paper, we address the automated tuning of input specification for supervised inductive learning and develop combinatorial optimization solutions for two such tuning problems.

The following is a simplified example of input specification for a target sentence 'A cantora americana Christina Aguillera não terá um programa de rádio semanal' or 'The American singer Christina Aguillera will not have a weekly radio program'.

Usually, structures are designed according to input specifications.

According to these input specifications, software such as BioNetGen [ 20] and the Kappa Calculus [ 21] compute all the species and reactions of the system under consideration (see Additional file 1 for a schematic representation).

The tool will allow the user to input the specifications for various models for each type of system, and then meet the load based on user inputted parameters (e.g., a requirement to meet 90% of the load at all times).

We design a generic fitness function for validation of input specification, then use it to develop two genetic algorithm wrappers: one for the variable selection problem for decision tree inducers and one for the variable ordering problem for Bayesian network structure learning.