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Statistical modeling of social networks as complex systems has always been and remains a challenge for social scientists. Exponential family models give us a convenient way of expressing local network structures that have sufficient statistics for their corresponding parameters. This kind of model, known as Exponential Random Graph Models (ERGMs), or p *(More)
Machine learning is used in a large number of bioinformatics applications and studies. The application of machine learning techniques in other areas such as pattern recognition has resulted in accumulated experience as to correct and principled approaches for their use. The aim of this paper is to give an account of issues affecting the application of(More)