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Universal codes/models can be used for data compression and model selection by the minimum description length (MDL) principle. For many interesting model classes, such as Bayesian networks, the minimax regret optimal normalized maximum likelihood (NML) universal model is computationally very demanding. We suggest a computationally feasible alternative to NML for Bayesian networks, the factorized NML...
An axial flux permanent magnet machine, designed to operate as a generator in a small-scale wind-power applications, is described in this paper. The machine is realized by using consecrated stator winding with open slots and surface mounted permanent magnets on rotor disk. Such a novel generator structure is simple to construct and its performance is good; it offers sinusoidal back-emf waveform, low...
In this paper we are interested in discrete prediction problems for a decision-theoretic setting, where the task is to compute the predictive distribution for a finite set of possible alternatives. This question is first addressed in a general Bayesian framework, where we consider a set of probability distributions defined by some parametric model class. Given a prior distribution on the model parameters...
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