Radosław Michalski

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Machine learning, a field concerned with developing computational theories of learning and constructing learning machines, is now one of the most active research areas in artificial intelligence. An inference-based theory of learning will be presented that unifies basic learning strategies. Special attention will be given to comparing and unifying inductive(More)
Information spreading in complex networks is often modeled as diffusing information with certain probability from nodes that possess it to their neighbors that do not. Information cascades are triggered when the activation of a set of initial nodes - seeds - results in diffusion to large number of nodes. Here, several novel approaches for seed initiation(More)
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