Creating e-learning material with optimal utilization of limited resources

Optimal control of epidemics with limited resources.

We extend the existing work on the time-optimal control of the basic SIR epidemic model with mass action contact rate. Previous results have focused on minimizing an objective function that is a linear combination of the cost associated with using control and either the outbreak size or the infectious burden. We instead, provide analytic solutions for the control that minimizes the outbreak siz...

Learning Style Deriving Approach to Personalize E-Learning Material Resources

Personalized recommender systems in e-learning environment make the learning process more effective and efficient. In this paper, we present a detailed knowledge-based system design for personalizing the e-learning material resources. Initially, the approach rates the different learning styles according to the learner personal data and preferences, and then it personalizes the learning material...

Learning of Agents with Limited Resources

In this paper we present our preliminary investigation of rational agents who can learn from their experience. We claim that such agents need to combine at least three attributes – deductive reasoning based on currently possessed knowledge, inductive learning from their history, and awareness of passing time (including the necessity to commit computational resources to tasks which need to be ca...

Creating Pinhole Cameras and Images with Limited Resources

Optimal Allocation of Very Limited Search Resources

This paper presents a probabilistic model for studying the question: given n search resources, where in the search tree should they be ezpended? Specifically, a least-cost root-to-leaf path is sought in a random tree. The tree is known to be binary and complete to depth N. Arc costs are independently set either to 1 (with probability p ) or to 0 (with probability l-p ). The cost of a leaf is th...