• Publications
  • Influence
Incremental learning of linear model trees
  • D. Potts
  • Computer Science, Mathematics
  • ICML
  • 4 July 2004
TLDR
We show that model trees can be induced incrementally using an algorithm that scales linearly with the number of examples. Expand
  • 46
  • 8
Incremental Learning of Linear Model Trees
TLDR
A new batch model tree learner is described with two alternative splitting rules and a stopping rule. Expand
  • 47
  • 5
  • PDF
ONLINE NONLINEAR SYSTEM IDENTIFICATION USING LINEAR MODEL TREES
Abstract A linear model tree is a decision tree with a linear functional model in each leaf that can represent piecewise linear systems. This paper extends recent work in the machine learningExpand
  • 2
  • 1
Fast Incremental Learning of Linear Model Trees
  • D. Potts
  • Computer Science
  • PRICAI
  • 9 August 2004
TLDR
We introduce a new incremental node splitting criteria that is significantly faster than both our previous algorithm and other non-parametric incremental learning techniques, and in addition scales better with dimensionality. Expand
  • 5
Concurrent Discovery of Task Hierarchies
TLDR
This paper explores how task hierarchies can model a domain for control purposes, and examines an existing algorithm that automatically discovers a task hierarchy through interaction with the environment. Expand
  • 4
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Discovering multiple levels of a task hierarchy concurrently
TLDR
Abstract Task hierarchies can be used to decompose an intractable problem into smaller more manageable tasks. Expand
  • 3
Online Nonlinear System Identification in High Dimensional Environments
This paper compares a range of techniques from both the system identification and machine learning literature that can construct nonlinear models online. Strong parallels exist between the variousExpand
  • 1
NONLINEAR SYSTEM IDENTIFICATION USING LINEAR MODEL TREES
A linear model tree is a decision tree with a linear functional model in each leaf that can represent piecewise linear systems. This paper extends recent work in the machine learning literature onExpand