This chapter gives a tutorial introduction to Ensemble Learning, a recently developed Bayesian method. For many problems it is intractable to perform inferences using the true posterior density over the unknown variables. Ensemble Learning allows the true posterior to be approximated by a simpler approximate distribution for which the required inferences are tractable.

abstract this study scrutinized the interaction between linguistic and strategic variables in reading comprehension test performance of iranian efl learners. to this end, the interaction among the participants’ reading comprehension test performance, use of test-taking strategies, and level of language proficiency was analyzed. the participants comprised 286 students who answered a reading comp...

We investigate the estimation of distributions with timevarying parameters. We introduce an algorithm that achieves the optimal negative likelihood performance against the true probability distribution. We achieve this optimum regret performance without any knowledge about the total change of the parameters of true distribution. Our results are guaranteed to hold in an individual sequence manne...