Sentence examples for novelty learning from inspiring English sources

Exact(2)

To tackle this problem, several approaches have been proposed from the viewpoint of one-class novelty learning.

The most medial and ventral mDN projections, within the VTA, regulate reward-associated behavior and novelty learning and project rostrally on a ventromedial course to the nucleus accumbens and to extrastriatal structures including the pallidum and subthalamus.

Similar(58)

In garages and basements all over the world, people putter around, so to speak, on evenings and weekends, designing clubs, gloves, tools, gadgets, novelties, learning aids and more.

The findings inform the ongoing discussion about the general role of dopamine in brain function as well as its relationship to a range of cognitive processes, such as working memory, reward prediction, salience, novelty, and learning as well as pathologies of decision making.

From these conditions of interest, we ran an omnibus test to look at novelty effects during learning and replacement phases, which equated to a 2 × 2 × 2 (Experimental Phase × Environmental Novelty × Object Novelty) factorial design.

Both the LC (Vankov et al. 1995) and VTA (Schultz et al. 1993) neurons are activated by novelty, acting as learning signals in a complementary fashion (Harley 2004).

Because the Morris water maze elicits anxiety and stress responses, and the eight-arm radial maze utilizes an external motivational reward system, we decided to perform simple object recognition tasks to measure memory, preference for novelty and spatial learning.

Educational Data Mining (EDM) has provided an impressive amount of novelties related to learning object recommendation systems.

This research explored the possibility of employing novelty detection, a machine learning approach, as a way to detect potential misclassifications that occur during current ad hoc and manual mapping practices.

The novelty in using belief learning to model the dynamics of RAT's offender, target, and guardian behaviors within an agent-based model is that the agents learn and adapt given observation of other agents' actions without knowledge of the payoffs that drove the other agents' choices.

However, the predictive value of early temperament testing has been demonstrated with traits from both of the affective dimensions (as measured by novelty test, handling and learning) considered to be valuable in predicting jumping performance.

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