Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Abstract. We introduce the knowledge-based image interpretation system GeoAIDA and give examples for an image operator, extracting trees from aerial imagery. Moreover we present a ...
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
In many data mining tools that support regression tasks, training data are stored in a single table containing both the target field (dependent variable) and the attributes (indepe...
Background: Novel strategies are required in order to handle the huge amount of data produced by microarray technologies. To infer gene regulatory networks, the first step is to f...