Patent ID: 7877337

Claim:
A method of forecasting feature values in future time slices for a cell of a data array, comprising: generating a plurality of data cells for each time slice of a succession of time slices; defining a number of feature values for each data cell; defining a number of forecasts for each feature value; establishing a current time slice; and for each forecast: specifying in relation to the current time slice a future time slice for which the forecast is to be computed; defining at least one dependent data cell in the future time slice; and for each dependent data cell: defining an estimation set including a predetermined number of nearest neighbor cells in the current time slice surrounding in at least one spatial dimension a data cell corresponding to the at least one dependent data cell in the future time slice; generating learned parameters for the estimation set based on information stored in the cells of the estimation set; updating each learned parameter; computing a forecasting weight corresponding to the estimation set based on the learned parameters; forecasting a feature value in the future time slice as a function of the feature value associated with the estimation set and its corresponding forecasting weight; and further comprising specifying in relation to the current time slice at least one or more past time slices.