Pool-based active learning is an important technique that helps reduce labeling efforts within a pool of unlabeled instances. Currently, most pool-based active learning strategies are constructed based on some human-designed philosophy; that is, they reflect what human beings assume to be “good labeling questions.” However, while such human-designed philosophies can be useful on specific data s...

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Introduction: The main problems of children with learning disorder are in cognition and their sensations. The present study aimed to investigate the comparison of active memory and sensory processing styles in boys and girls with writing learning disorder. Methods: The methodology of this descriptive study was the Control-case study type. The statistical population of this study was all girls ...

Intelligent systems that interact with humans typically require input in the form of demonstrations and/or advice for optimal decision making. In more traditional systems, such interactions require detailed and tedious effort on the part of the human expert. Alternatively, active learning systems allow for incremental acquisition of the demonstrations from the human expert where the learning sy...