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Using a training phase is always a good method to learn the threshold.
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Neural networks are adaptive in nature, due to their use of a training phase for learning the relationships in the input data, and their generalization capabilities provide a means of coping with noisy or incomplete data.
The test is dual phased and consists of (i) a training phase using a first set of real-life data, during which the hypothesis is said to be true, and (ii) a validation phase during which a second set of real-life data is used to evaluate whether the hypothesis holds true or not.
Firstly, we performed a training phase using all 92 genes so that the likelihood functions had both preprocessing noise variances and additive gene-specific adaptive variances.
The Florida State Super Ensemble (FSSE) is produced from a suite of models which then uses statistical regression equations developed over a training phase to reduce their biases, which produces forecasts better than the member models or their mean solution.
Following the removal of duplicate citations, a training phase was used to ensure that study inclusion criteria were consistently applied for a randomly selected subset of approximately 5% of the studies.
In [22], the authors proposed an iterative channel estimator based on the EM algorithm to separately estimate the channels B → R (BS-RN) and R → U (RN-UT), that on the initial phase uses a training sequence and after can use the regenerated data.
The optimized basis function is used in the training phase which is usually obtained using k-means algorithm in an unsupervised manner.
One approach to solve this problem is to describe the portion of the chemical space used during the training phase of a model.
From these images, 30%% were used in the training phase and the remaining 70%% were used in the testing phase.
These prediction accuracies are more than 5% higher than the most successful case when samples acquired in the controlled scenario are used for both training and testing, with 63 subjects used in the training phase.
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