The algorithm employs the notion of lever pulls in the multi-armed bandit game to select the attributes during decision tree induction, using a look-ahead methodology to explore potential attributes ...

These findings suggest that the ACC supports complex associative learning through extended signaling of rich ... for optimizing future performance but not necessarily essential for decision-making ...

Researchers have successfully employed an algorithm to identify potential ... and PRINT, a deep-learning-based method to detect these types of footprints of DNA-protein interactions.

"The study identified three managerial mechanisms—learning, reflection, and alignment—which strongly explain the development of capabilities in SMEs. These refer, among other things ...

Decision Trees are non-parameterized supervised algorithms used for classification and regression procedures. It is composed of a system of nodes representing tests on attributes, edges representing ...