Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
This paper reports our research in the Web page filtering process in specialized search engine development. We propose a machine-learning-based approach that combines Web content a...
Proteins are the driving force in development (embryogenesis) and the immune system. Here we describe how a model of proteins designed for evolutionary development in computers can...
Abstract. The distributed adaptive routing is the typical routing algorithm that is used in the current Internet. The path cost of the least delay (LD) path is relatively more expe...