Software development is always a challenging undertaking and it requires high commitments from individuals who participate in it. Software development often involves new technolog...
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Machine learning has become a valuable tool for detecting and preventing malicious activity. However, as more applications employ machine learning techniques in adversarial decisi...
Marco Barreno, Peter L. Bartlett, Fuching Jack Chi...
The team of engineers designing and implementing distributed control system software must communicate within a multidisciplinary environment. One of the main problems is the intera...