Implementation Issues in the Fourier Transform AlgorithmDownload PDFOpen Website

1995 (modified: 11 Nov 2022)NIPS 1995Readers: Everyone
Abstract: The Fourier transform of boolean functions has come to play an important role in proving many important learnability results. We aim to demonstrate that the Fourier transform techniques are also a useful and practical algorithm in addition to being a powerful theoretical tool. We describe the more prominent changes we have introduced to the algorithm, ones that were crucial and without which the performance of the algorithm would severely deterio(cid:173) rate. One of the benefits we present is the confidence level for each prediction which measures the likelihood the prediction is correct.
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