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We show that hierarchical curiosity loops starting from optimally learning the internal models of whisker motion and then extending to object localization result in free-air whisking and object palpation, respectively.
In contrast, subjects in the MM group were forced to use the unfamiliar mind map learning strategy (based on a brief introductory learning session) that may have distracted them from optimally learning the material.
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Sham-injured rats optimally learned the massed version of the active place avoidance task that consisted of six 10-minute trials with a 10-minute intertrial interval [8].
Such an assumption is appropriate since humans have the ability to learn not only the dynamics but also the stochastic characteristics of tasks, in order to optimally learn the control of a complex task [28], [29].
The number of components is optimally learned from data by initializing K to be large enough, such that sparsity assumptions push some to be inactive.
The course focuses on how a wide range of digital technologies can be integrated optimally in learning, teaching and education management.
We urge instructors interested in moving away from conventional lecture-based teaching to consider the wide range of instructional models available and to select the model which bests suits the course content, student needs, and available resources to optimally facilitate learning.
Optimally, you learn this motor skill and then apply the resistance level (amount of weight) and mode of resistance (free weight, tubing, body weight, machine) that is appropriate and safe.
While there is a large body of research concerning the question how materials should be designed in order to foster learning optimally, there is astonishingly little research on the question how to design a documentation in order to facilitate its application – with respect to time, number of errors, and subjective measures.
Applicability of protein biomarkers was evaluated by six different optimally parameterized machine learning algorithms: Support Vector Machine, Recursive Partitioning, Random Forest, Naive Bayes, Logistic Regression, K-Nearest Neighbor.
District nurses experienced being ill prepared for the supervision role due to insufficient communication with universities, and they could not assess students' learning outcomes optimally [ 13].
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