Data Analysis using G/SPLINES

Part of Advances in Neural Information Processing Systems 4 (NIPS 1991)

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David Rogers


G/SPLINES is an algorithm for building functional models of data. It uses genetic search to discover combinations of basis functions which are then used to build a least-squares regression model. Because it produces a population of models which evolve over time rather than a single model, it allows analysis not possible with other regression-based approaches.