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Learning in data streams is a problem of growing interest. The target function of data streams may change over time, so in such situations, a learning model induced with some previous data may be inconsistent with the current data. This problem is commonly known as concept drift. The strategy broadly used to handle concept drift is to continuously monitor a chosen performance measure of the mod...

Una Generalizacion del Modelo AGM de Cambio de Creencias

Pronóstico del tipo de cambio USD/MXN con redes neuronales de retropropagación

The analysis of time series allows to characterize a phenomenon and even to predict, under a certain degree of precision, its future behavior. The possibility of anticipating market movements is extremely attractive for decision-makers, both in the private sector and in the public sector. This research addresses the regression of time series of the US dollar / Mexican peso exchange rate, using ...

Periodicidad Reproductiva de Tortugas Marinas Machos, Proporciones de Sexos Operacionales e Implicaciones Frente al Cambio Climtico

Species that have temperature-dependent sex determination (TSD) often produce highly skewed offspring sex ratios contrary to long-standing theoretical predictions. This ecological enigma has provoked concern that climate change may induce the production of single-sex generations and hence lead to population extirpation. All species of sea turtles exhibit TSD, many are already endangered, and mo...

Evaluación Económica De Costes Anticipados Y Ahorros De Una Intervención De Cambio De Actuación Para Mejorar La Adhesión a La Medicación Resumen