BigDataFr recommends: Deep Broad Learning – Big Models for Big Data

‘Deep learning has demonstrated the power of detailed modeling of complex high-order (multivariate) interactions in data. For some learning tasks there is power in learning models that are not only Deep but also Broad. […]

The most accurate models will integrate all that information. In this paper, we propose an algorithm for Deep Broad Learning called DBL. The proposed algorithm has a tunable parameter n, that specifies the depth of the model. It provides straightforward paths towards out-of-core learning for large data. We demonstrate that DBL learns models from large quantities of data with accuracy that is highly competitive with the state-of-the-art. ‘

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By Nayyar A. Zaidi, Geoffrey I. Webb, Mark J. Carman, Francois Petitjean
Source: arxiv.org