Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
The huge demand for ad-hoc and situational enterprise-class applications led to a new kind of Web-based applications, known as enterprise mashups. End users from the business units...
Florian Gilles, Volker Hoyer, Till Janner, Katarin...
Secure Safe Ambients (SSA) are a typed variant of Safe Ambients [9], whose type system allows behavioral invariants of ambients to be expressed and verified. The most significant a...
Abstract. We describe a declarative language, called BAD (brain architecture description language), which we have developed for describing and then running brain models. Models are...