Windowing techniques are related to several other research areas in the field of Machine Learning, including sub-sampling, active learning, and techniques for complexity reduction such as feature subset selection. In this section, we will briefly discuss some of these related techniques. For a slightly different angle on many of the following topics, the reader may also wish to consult the work by [2].