Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Abstract: Research in sociology studies the effectiveness of social networks in achieving computational tasks. Typically the agents who are supposed to achieve a task are unaware o...
Semantic Web Fred, SWF for short, is a contextindependent, goal-driven system for automated execution of tasks that are delegated to electronic representatives along with dynamic ...
Michael Stollberg, Dumitru Roman, Ioan Toma, Uwe K...
Efficient coordination among large numbers of heterogeneous agents promises to revolutionize the way in which some complex tasks, such as responding to urban disasters can be perf...
Yang Xu, Paul Scerri, Bin Yu, Steven Okamoto, Mich...
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...