Abstract. Peer-to-peer networks have often been touted as the ultimate solution to scalability. Although cooperative techniques have been initially used almost exclusively for cont...
Data dissemination is a fundamental task in wireless sensor networks. Because of the radios range limitation and energy consumption constraints, sensor data is commonly disseminate...
Eduardo Freire Nakamura, Carlos Mauricio S. Figuei...
In this paper we present a hybrid reputation model focused on organizational structures that attempts to solve problems associated with both centralized and decentralized reputatio...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...