Machine Learning of Inductive Bias

Utgoff, P. E.


One of the features of a computer program that attempts concept learning is described by the term bias. The bias of a learning program refers to the collection of factors that are brought to bear upon the selection and consideration of partially formed hypotheses pertaining to the concept being learned. For most learning programs, the bias is fixed and provided by the program's author. Utgoff investigates how a learning program may modify its bias by considering when a shift in bias should be attempted, by proposing a method for accomplishing the shift, and by implementing a program that demonstrates procedures for performing a shift. The book begins with an introduction to machine learning and bias and a discussion of related work.