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In this paper we focus on building keyword search service over unstructured Peer-to-Peer (P2P) networks. Current state-of-the-art keyword search approaches for unstructured P2P systems are either blind or informed. Blind search methods such as flooding in Gnutella generate a large of redundant cloned messages and
Learning time is always a critical issue in reinforcement learning, especially when recurrent neural networks (RNNs) are used to predict Q values. By creating useful subgoals, we can speed up learning performance. In this paper, we propose a method to accelerate learning in non-Markovian environments using automatic discovery of subgoals. Once subgoals are created, sub-policies use RNNs to attain...
, a Grid application consults a broker or matchmaker agent that uses keywords and ontologies to specify grid services. Moreover, any successful selection mechanism should be highly distributed and robust to the dynamic property of Grid environment. However, we believe that keywords and ontologies cannot be defined or
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.