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ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207
 

Summary: ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215 ACSC 2003 pp207215
Types and Classes of Machine Learning and Data Mining
Lloyd Allison
School of Computer Science and Software Engineering
Monash University,
Clayton, Victoria, Australia 3168.
lloyd at bruce cs monash edu au
http://www.csse.monash.edu.au/lloyd/
Abstract
The notion of a statistical model, as inferred and used in statis-
tics, machine learning and data mining, is examined from a se-
mantic point of view. Data types and type-classes for models
are developed that allow models to be manipulated in a type-
safe yet exible way. The programming language Haskell-98,
with its system of polymorphic types and type-classes, is used
as the meta-language for this exercise so one of the by-products
is a running program.
Keywords: Classes, data mining, data types, func-
tional programming, inductive inference, machine
learning.

  

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

 

Collections: Computer Technologies and Information Sciences