Foundations of Interactive Adaptive Learning

In this section we present a unified overview of some existing methods for adaptive ob- server design and discuss their relation with the adaptive observer proposed in this paper,

Furthermore, an adaptive robot was able to switch between the novice role and the expert role every child-robot turn based on the children's learning state to keep

Machine Learning Group, Department of Computer Science, UBC, Montreal Recent Advances in Frank-Wolfe Optimization... NSF-DIMACS sponsored workshop on Optimization in Machine

With the recent advances in deep learning, i.e., in subsymbolic approaches, questions how to interface these methods with symbolic data or systems resurface with renewed urgency,

In this paper we discuss about the possibilities of Responsive Web Design technique to adapt a learning content compared to an adaptive service-based approach to design

Our main contributions include a novel paradigm to interleave study material slides with questions, a library of interactive question types, a plugin system for creating active

Recent advances in statistical and machine learning have opened the possibility to forecast the behavior of chaotic systems using recurrent neural networks.. In this article

To compute the adaptive sampling and sending periods, we have presented a self-adaptive approach using machine learning and deep-sleep to provide an optimal configuration extending