We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Generally speaking, in the e-learning systems, a course is modeled as a graph, where each node represents a knowledge node (KU) and two nodes are connected to form a semantic netw...
Application of Virtual Reality (VR) in training and education seems to give excellent promise in providing an alternative “real life” environment in situations where it is imp...
It is difficult for a student to learn how to program and to build an understanding of the rationale which underpins the development of a program’s componentparts. Conventional ...
Su White, Clare J. Hooper, Leslie Carr, Timothy P....
Feedback is information that is provided to a user to inform him/her about the result of his/her action and to motivate him/her to further interact with the system. In web-based l...
Ekaterina Vasilyeva, Mykola Pechenizkiy, Seppo Puu...
The scope of implementing a virtual instructor is to achieve enhanced learning outcomes during an autonomous training (education) sessions of a human learner. Based on the evidenc...