Nonlinear Markov Networks for Continuous Variables
نویسندگان
چکیده
In this paper we address the problem of learning the structure in nonlinear Markov networks with continuousvariables. Markov networks are well suited to model relationships which do not exhibit a natural causal ordering. We use neural network structures to model the quantitative relationships between variables. Using two data sets we show that interesting structures can be found using our approach.
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تاریخ انتشار 1997