Abstract. In scheduling using constraint programming we usually reason only about possible start times and end times of activities and remove those which are recognized as unfeasib...
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
— The exoskeleton robot, serving as an assistive device worn by the human (orthotic), functions as a humanamplifier. Setting the human machine interface (HMI) at the neuro-muscu...
Ettore Cavallaro, Jacob Rosen, Joel C. Perry, Step...
Several population-based methods (with origins in the world of evolutionary strategies and estimation-of-distribution algorithms) for black-box optimization in continuous domains ...