This document is intended for use by qualified performance related programmers or analysts from IBM, IBM Business Partners and IBM customers using iSeries servers. Information in this document may be readily shared with IBM iSeries customers to understand the performance and tuning factors in IBM i5/OSTM Version 5 Release 3. For the latest updates and for the latest on iSeries performance infor...

Bayesian model averaging enables one to combine the disparate predictions of a number of models in a coherent fashion, leading to superior predictive performance. The improvement in performance arises from averaging models that make different predictions. In this work, we tap into perhaps the biggest driver of different predictions—different analysts—in order to gain the full benefits of model ...

This document is intended for use by qualified performance related programmers or analysts from IBM, IBM Business Partners and IBM customers using the System i platform. Information in this document may be readily shared with IBM System i customers to understand the performance and tuning factors in IBM i5/OSTM Version 6 Release 1. For the latest updates and for the latest on System i performan...