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Parametric modulators were derived from the learning models described in the Information Box.
For advanced internal evaluation purposes, the kinetic parameters derived from the learning data set were used to predict CA-125 kinetics and tumour size changes in the validation data set patients.
The results from our previous qualitative and quantitative studies conducted in the same setting and population informed decisions regarding the content and presentation of the educational tools [ 10, 15], that is, they were derived from the learning needs identified by new parents in this setting.
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The results show that the knowledge derived from the automated learning methods can achieve effective image retrievals that are comparable to those based on a knowledge-engineer-driven approach.
Thus, the experimental manipulation was successful with regard to our main target of observation and the direction of amplitude change conformed to our expectations derived from the reinforcement learning theory of the ERN [19].
In the experiments, we used the combination of the parameters derived from the machine-learning model and the ones from the thermodynamic model to implement the scores of the RactIP objective function.
In the current analysis, the relationship between the sociocultural, personal and contextual variables and visitors' overall reasoning patterns post-visit should give some insight into the impact of variables that were derived from the free-choice learning model incorporated into this study (see Table 9).
The intervention strategy derived from the principles of learning theory has been described elsewhere.
The present study reports the following variables derived from the test: verbal learning (total recall over 5 trials), semantic clustering, and recognition memory (discriminability).
Learning achievement was examined by questions derived from the course content while learning satisfaction was analyzed based on an adaptation of the Technology Acceptance Model (TAM).
In 1997, Freund and Schapire [1] supplied the AdaBoost algorithm for realizing the learning framework of boosted trees, which could be derived from the Probably Approximately Correct (PAC) learning proposed by Valiant [2].
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CEO of Professional Science Editing for Scientists @ prosciediting.com