We propose a gossip-based distributed algorithm for Gaussian mixture learning, Newscast EM. The algorithm operates on network topologies where each node observes a local quantity ...
Abstract One of the goals envisioned by Grid computing is to make the execution of both computational and data-intensive problems possible. A key problem is finding the optimal set...
Marc De Leenheer, Pieter Thysebaert, Bruno Volckae...
Specific requirements of stream processing on the Grid are discussed. We argue that when the stream processing paradigm is used for cluster computing, the processing components c...
Abstract: We present a new algorithm for automatic test generation for multicast routing. Our algorithm processes a nite state machine (FSM) model of the protocol and uses a mix of...
Much recent research in decision theoretic planning has adopted Markov decision processes (MDPs) as the model of choice, and has attempted to make their solution more tractable by...