Data Perturbation for Escaping Local Maxima in Learning


Almost all machine learning algorithms--be they for regression, classification or density estimation--seek hypotheses that optimize a score on training data. In most interesting cases, however, full global optimization is not feasible and local search techniques are used to discover reasonable solutions. Unfortunately, the quality of the local maxima… (More)


4 Figures and Tables


Citations per Year

103 Citations

Semantic Scholar estimates that this publication has 103 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics