The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
Many people do not read easily for all sorts of reasons: social and cultural, because of impairments, or because of their context. Even in the area of impairments, design for peop...
Caroline Jarrett, Katie Grant, B. L. William Wong,...
One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context,...