When learning a classical instrument, people often either take lessons in which an existing body of “technique” is delivered, evolved over generations of performers, or in som...
It is common to imbed business rules within the code of distributed object systems. When business practices and/or policies change, as they often do, it is difficult if not imposs...
Isabelle Rouvellou, Lou Degenaro, Kevin Rasmus, Da...
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
Empirical evidence shows that in favorable situations semi-supervised learning (SSL) algorithms can capitalize on the abundance of unlabeled training data to improve the performan...
Human behavior representation (HBR) is an elusive, yet critical goal for many in the simulation community. Requirement specifications related to HBR often exceed current capabilit...
John C. Giordano, Paul F. Reynolds Jr., David C. B...