Online Learning with Bayesian Classification Trees Supplementary Material
نویسندگان
چکیده
This document provides the following, additional contributions to our CVPR 2016 submission: • in Section A we provide details about how to derive some formulæ that appear in the main paper; • in Section B we provide a complexity analysis of our algorithm; • in Section C we provide additional experimental analyses. Specifically, in Section C.1 we provide Matlab timings of our non-optimized implementation. In Section C.2, we demonstrate and discuss the positive effects of an increasing ensemble size for both, depth 7 and depth 8 BOF-S ensembles. Moreover, we provide a guide on how to perform model selection based on the online development of the ensemble training loss in Section C.3.
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