Abstract. In this paper the concept of asymptotic complexity of languages is introduced. This concept formalises the notion of learnability in a particular environment and generali...
In this paper we investigate whether paragraphs can be identified automatically in different languages and domains. We propose a machine learning approach which exploits textual a...
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
operators. The analysis is abstract interpretation-based and is parameterized over two polyvariance operators and a projection operator. These operators are used to regulate the sp...
The authors will propose system integrated mechanisms, a Wiki platform for peer-reviewing, Link Grammar for automatically checking the students’ papers, and a RSS reader to peri...