The Nature Of Statistical Learning Theory -

A source of data that produces random vectors, usually assumed to be independent and identically distributed (i.i.d.).

At its heart, the nature of statistical learning is defined by four essential components: The Nature of Statistical Learning Theory

A set of functions (the hypothesis space) from which the machine selects the best candidate to approximate the supervisor. A source of data that produces random vectors,

In classical statistics, the goal is often to find the parameters that best fit a known model. In SLT, the model itself is often unknown. The theory distinguishes between (the error on the training data) and Expected Risk (the error on future, unseen data). The Nature of Statistical Learning Theory