: We present an automated detector that can predict a student’s future performance on a transfer post-test, a post-test involving related but different skills than the skills stu...
Ryan Shaun Joazeiro de Baker, Sujith M. Gowda, Alb...
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
Motivated by recent work on quantum black-box query complexity, we consider quantum versions of two wellstudied models of learning Boolean functions: Angluin’s model of exact le...
We propose and analyze a distribution learning algorithm for a subclass of Acyclic Probabilistic Finite Automata (APFA). This subclass is characterized by a certain distinguishabi...
One of the original motivations for research in qualitative physics was the development of intelligent tutoring systems and learning environments for physical domains and complex ...