Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
Abstract-- In this paper we investigate the effects of individual learning on an evolving population of situated agents. We work with a novel type of system where agents can decide...
Abstract. Automatic document summarization has become increasingly important due to the quantity of written material generated worldwide. Generating good quality summaries enables ...
Judith D. Schlesinger, Dianne P. O'Leary, John M. ...
Abstract. Nowadays, context-aware applications can discovery and interact with services in ubiquitous environments in order to customize their behavior. In general, these providers...
Daniel Romero 0002, Romain Rouvoy, Lionel Seinturi...
Abstract - With the growth of the Internet and increased demand for Web Services has come a heightened need for scalable wide-area group communication systems. The need for trust i...
Kim Potter Kihlstrom, Robin Elliott, Kelsey Marshm...