We present an online technique to estimate the generality of classifiers conditions. We show that this technique can be extended to gather some basic information about the effect of classifier actions in the environment. The approach we present is minimalist in that it is aimed at obtaining as much information as possible from online experience, with as few modifications as possible to the classifier structure. Because of its plainness, the method we propose can be applied virtually to any classifier system model. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Lanzi, P. L. (2003). Estimating classifier generalization and action’s effect: A minimalist approach. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2724, 1894–1905. https://doi.org/10.1007/3-540-45110-2_86
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