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Identifying a subset of features that preserves classification accuracy is a problem of growing importance , because of the increasing size and dimensionality of real-world data sets. We propose a new feature selection method, named Quadratic Programming Feature Selection (QPFS), that reduces the task to a quadratic optimization problem. In order to limit… (More)
This paper presents an online system for fraud detection of credit card operations based on a neural classifier. Since it is installed in a transactional hub for operation distribution, and not on a card-issuing institution, it acts solely on the information of the operation to be rated and of its immediate previous history, and not on historic databases of… (More)
—In this work, we will introduce linear autoassocia-tive neural (AN) network filters for the removal of additive noise from one-dimensional (1-D) time series. The AN network will have a (2 + 1) (2 + 1) architecture, and for fixed, we will show how to choose the optimal value and output coordinate from square error estimates between the AN filter outputs and… (More)
This paper presents a nonlinear supervised feature extraction algorithm that combines Fisher's criterion function with a preliminary perceptron-like nonlinear projection of vectors in pattern space. Its main motivation is to combine the approximation properties of multilayer perceptrons (MLP's) with the target free nature of Fisher's classical discriminant… (More)
PURPOSE To estimate the prevalence of adversity (neglect and abuse, parental loss, parental psychopathology, economic adversity, and serious physical illness), the interrelatedness of adversities, and their socio-demographic correlates. METHODS This is a multistage probability survey of 3005 adolescents aged 12-17 years residing in Mexico City. Youth were… (More)
Surprisingly simple local learning algorithms are known to outperform many other global non-linear machines. Unfortunately, these algorithms are computationally costly. A means of combining both learning approaches is proposed in and shown to enhance performance. q 1998 Elsevier Science B.V. All rights reserved.
SUMMARY Introduction The first and only nationally representative prevalence estimates of psychiatric disorders in Mexico (the Mexican National Comorbidity Survey) indicate sex differences in the expression of psychopathology and early ages of onset for most disorders, often in the adolescent years. Studies from other countries have shown that sex… (More)