We present LTLS, a technique for multiclass and multilabel prediction that can perform training and inference in logarithmic time and space. LTLS embeds large classification problems into simple structured prediction problems and relies on efficient dynamic programming algorithms for inference. We train LTLS with stochastic gradient descent on a number of multiclass and multilabel datasets and ...

background: the objective of this study was to evaluate the efficacy of sanitization of lettuce according to the protocols set forth by iranian ministry of health and medical education for reducing populations of total coliform, fecal coliform, and helminth eggs present on lettuce. methods: in the present study, we determined the load of total coliform, fecal coliform, and parasites of lettuce....

Abstract Gamma-ray bursts (GRBs) are widely believed to be from massive collapsars and/or compact binary mergers,which, accordingly, would generate long and short GRBs, respectively. The details on this classification scheme have been in constant debate given more observational data available us. In work, we apply a series of mining methods studying the potential information contained prompt em...