Sentence examples for input of training from inspiring English sources
The phrase "input of training" is not correct in standard written English.
It may be intended to refer to the data or information used during a training process, but it lacks clarity and proper structure. Example: "The input of training data is crucial for the model's performance."
Different from the traditional learning-based method, SmartTracing does not require human input of training exemplars and can self-adapt to different types of neuroimage data.
However, unlike previous investigators, we have implemented random methods here instead of heuristically making the input of training and target runs.
Traditional classification algorithms from data mining domain, however, require the input of training data to be formatted in a data matrix where the columns represent features/attributes that characterize the voice data, and the rows are the instances of the voice data.
After training the networks for each test series and converting those data, which are in normalized amounts, to the real amounts, the inputs of training and testing data were given to the software in order to compare the amounts of real rotations with those calculated by the neural networks.
The economic costing (case study dataset) incorporates the value of volunteer time, the value of all inputs irrespective of the funding source and the inputs of training, monitoring and supervision and management made by the funding or management agency.
Phases of a constant time interval, of this very complex system could define input vectors of training data set.
The latter constraint assures that the input data of training and test set have a similar spatial diversity.
First, all the input features of training data were normalized to be between -1 and 1 by a linear function.
where α = (α1,…,α N ) denotes the non-negative Lagrange multipliers, x i denotes the input of the training data and y i denotes the output of the training data[17].
This body of research also stated that although technologies have the potential to make teaching and learning more interesting, it requires considerable input of teacher training, preparation and production of appropriate materials.
As we have known, the superior generalization performance of SVM for classification, to the great degree, depends on the extraction or selection of the gait features as the input of the training sets.
