The paper reports three new ensembles of supervised learning predictors for managing medical insurance costs. open dataset is used data analysis methods development. usage artificial intelligence in the management financial risks will facilitate economic wear time and money protect patients’ health. Machine associated with many expectations, but its quality determined by choosing a good algorit...

Many methods using ensemble integrations of prediction models as integral parts of data assimilation have appeared in the atmospheric and oceanic literature. In general, these methods have been derived from the Kalman filter and have been known as ensemble Kalman filters. A more general class of methods including these ensemble Kalman filter methods is derived starting from the nonlinear filter...

Ensemble methods such as boosting combine multiple learners to obtain better prediction than could be obtained from any individual learner. Here we propose a principled framework for directly constructing ensemble learning methods from kernel methods. Unlike previous studies showing the equivalence between boosting and support vector machines (SVMs), which needs a translation procedure, we show...