This installment of Computer’s series highlighting the work published in IEEE Computer Society journals comes from Transactions on Computers.

Abstract Artificial neural networks are referred to as universal approximators due their inherent ability reconstruct complex linear and nonlinear output maps conceived input-output relationships from data sets. This can be done by reducing large via regularization in order establish compact models containing fewer parameters aimed at describing vital dependencies In situations where the sets c...

Abstract: Input variable selection is an essential step in the development of statistical models and is particularly relevant in environmental modelling, where potential model inputs often consist of time lagged values of each different potential input variable. While new methods for identifying important model inputs continue to emerge, each has its own advantages and limitations and no method...

Nonlinear system identi cation involves selecting the order of the given model based on the input-output data. A bootstrap model selection procedure which selects the model by minimising bootstrap estimates of the prediction error is developed. Bootstrap based model selection procedures are attractive because the bootstrap observations generated for the model selection can also be used in subse...

A content selection component determines which information should be conveyed in the output of a natural language generation system. We present an efficient method for automatically learning content selection rules from a corpus and its related database. Our modeling framework treats content selection as a collective classification problem, thus allowing us to capture contextual dependencies be...

In this paper, we present a new fuzzy selection criterion which takes into account both the sensitivity of measured data and human knowledge concerning the relations between process parameters and quality features of nonwoven product. This selection criterion permits to rank the process parameters of the related nonwoven production line and take the most relevant ones as input variables of the ...