There is growing interest in the application of machine learning techniques in bioinformatics. The supervised machine learning approach has been widely applied to bioinformatics and gained a lot of success in this research area. With this learning approach researchers first develop a large training set, which is a time-consuming and costly process. Moreover, the proportion of the positive examp...

Students are usually only marginally involved in the preparation of exams. They are passive peers who write an exam predefined by the lecturer. Studies in educational theory indicate, however, that active involvement instead of (passive) consumption should be adopted in learning since active learning proved to be superior to passive learning. One concept of active learning is student peer evalu...

Two experiments examined the effects of interactive tutorial features (compared to “passive” features) on learning spatial tasks, an area seldom explored in interactivity research. Experiment 1 results indicated that for simple spatial tasks, interactive tutorials hindered learning for participants of higher spatial ability but improved learning for lower-ability participants. This interaction ...

This study investigates learning passive motor control strategies. Passive control is understood as control without active error correction; the movement is stabilized by particular properties of the controlling dynamics. We analyze the task of juggling a ball on a racket. An approximation to the optimal solution of the task is derived by means of optimization theory. In order to model the lear...

background: the involvement of water-soluble carotenoids, crocins, as the main and active components of crocus sativus l. extract in learning and memory processes has been proposed. in the present study, the effect of crocins on sporadic alzheimer's disease induced by intracerebroventricular (icv) streptozocin (stz) in male rats was investigated. methods: male adult wistar rats (n = 90 and...

Humans can adapt to unfamiliar dynamic and/or kinematic transformations through the active motor experience. Recent studies of neurorehabilitation using robots or brain-computer interface (BCI) technology suggest that passive motor experience would play a measurable role in motor recovery, however our knowledge of passive motor learning is limited. To clarify the effects of passive motor experi...

Chapter 1 introduced psychopathy and evaluated theories attempting to explain this disorder. Experiment 1 assessed passive avoidance learning in children with psychopathic tendencies. Results replicated previous findings with psychopathic adults indicating that this disorder is associated with poor passive avoidance learning. Experiment 2 developed a connectionist model of passive avoidance lea...

We develop unified information-theoretic machinery for deriving lower bounds for passive and active learning schemes. Our bounds involve the so-called Alexander’s capacity function. The supremum of this function has been recently rediscovered by Hanneke in the context of active learning under the name of “disagreement coefficient.” For passive learning, our lower bounds match the upper bounds o...