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Overall, our work presents an investigation of strength-based LCS in the domain of supervised classification.
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Indeed, they seem to be less applied than supervised learning in the domain of context recognition.
In the domain of data mining [29], classification is a supervised learning technique that can be defined as follows: given a set of observations, we are interested in extracting certain rules that can be used to predict the class of the each new observation.
"We are no longer in the domain of free speech.
Our view is that it is the most important parameter in the context of supervised training.
It also makes sense in the framework of supervised learning (see Sect. 5.1).
Women in the EoP group participated in 18 sessions of supervised PA.
Rigorous validation of supervised models, in the form of CV-ANOVA and permutation testing, adds a necessary level of confidence in the interpretation and reuse of supervised models.
In our study, the improvement in 6MWD was maintained 26 weeks after the completion of supervised exercise training without ongoing supervised exercise.
The performance of supervised learning algorithms is discussed in terms of computational effort.
The problem of supervised DNA sequence classification arises in several fields of computational molecular biology.
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