Подход к решению задач оптимизации с прецедентной начальной информацией

The formulation of the optimization problem with precedent initial information is proposed. The main problems and tasks of the constructing reliable schemes for solving such optimization problems are highlighted. The approach for solving such problems based on the loss function is described. The example based on the metric classifiers is considered. The new class of the collective learning by precedent is introduced.