Summary: Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­ Types of Models: HICS 2003 ­­
The Types of Models
Lloyd Allison,
School of Computer Science and Software Engineering,
Monash University,
Victoria,
Australia 3800.
http://www.csse.monash.edu.au/lloyd/
15 March 2003
Abstract
The specication of various kinds of statistical model from machine
learning and data mining is examined formally using the type and class
system of the functional programming language Haskell as a meta-language.
Types and classes (in the programming sense) of models, and operations
on models, are dened; many are naturally polymorphic. Convenient con-
version functions map between the classes of models and extend their
range of usefulness. The result is a kind of theory of programming with
models, not only of using them. The \theory" can run as an executable
Haskell program or can throw light on the foundations of platforms for
programming with statistical models. 1

Source: Allison, Lloyd - Caulfield School of Information Technology, Monash University

Collections: Computer Technologies and Information Sciences