The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
We present a time and energy optimal controller for a two-wheeled differentially driven robot. We call a mission the task of bringing the robot from an initial state to a desired f...
In this paper, we propose a new neighborhood structure based on the improvement graph for solving the Robust Graph Coloring Problem, an interesting extension of classical graph col...
Abstract. The interpretation of complex discourse, such as arguments, is a difficult task that often requires validation, i.e., a system may need to present its interpretation of ...
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
Haipeng Guo, Prashanth R. Boddhireddy, William H. ...