The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
The emerging paradigm of web services promises to bring to distributed computing the same flexibility that the web has brought to the publication and search of information contain...
Xiaocong Fan, Karthikeyan Umapathy, John Yen, Sand...
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
Aspect-Oriented Programming (AOP) addresses limitations in the Object-Oriented (OO) paradigm relating to modularisation of crosscutting behaviour. In AOP, crosscutting behaviour is...
With the advent of Grid computing, more and more highend computational resources become available for use to a scientist. While this opens up new avenues for scientific research,...