A system and method facilitating training machine learning systems
utilizing sequential conditional generalized iterative scaling is
provided. The invention includes an expected value update component that
modifies an expected value based, at least in part, upon a feature
function of an input vector and an output value, a sum of lambda variable
and a normalization variable. The invention further includes an error
calculator that calculates an error based, at least in part, upon the
expected value and an observed value. The invention also includes a
parameter update component that modifies a trainable parameter based, at
least in part, upon the error. A variable update component that updates
at least one of the sum of lambda variable and the normalization variable
based, at least in part, upon the error is also provided.