Autocalibration is a desirable property since it ensures that the information contained in candidate premium used without any bias. It turns out to be intimately related method of marginal totals predates modern risk classification methods. The present note aims assess impact autocalibration on goodness lift. shown case study does not only restore global and local balances but also improve

The paper addresses intelligent data processing and mining in distributed multi-agent networks. We consider a distributed traffic network represented as a multi-agent system, where each agent-vehicle autonomously forecasts its travelling time. We propose a structure for such agents and their corresponding distributed data processing and mining modules. We use distributed linear and kernelbased ...