Location of Repository

Learning Discontinuities with Product-of-Sigmoids for Switching between Local Models

By Marc Toussaint and Sethu Vijayakumar

Abstract

Sensorimotor data from many interesting physical interactions comprises discontinuities. While existing locally weighted learning approaches aim at learning smooth function

Topics: switching models
Publisher: ACM Press New York
Year: 2010
DOI identifier: 10.1145/1102351.1102465
OAI identifier: oai:www.era.lib.ed.ac.uk:1842/3700

Suggested articles

Preview

Citations

  1. (2003). A greedy approach to identification of piecewise affine models. doi
  2. (1998). Constructive incremental learning from only local information. doi
  3. (2003). Empirical evaluation of the improved Rprop learning algorithm. doi
  4. (2004). Evolution of voronoi-based fuzzy controllers. doi
  5. (1990). Generalized additive models. doi
  6. (1994). Hierarchical mixtures of experts and the EM algorithm. doi
  7. (2000). Learning switching linear models of human motion.
  8. (2000). Locally weighted projection regression: An o(n) algorithm for incremental real time learning in high dimensional space.
  9. (1998). Multiple paired forward and inverse models for motor control. doi
  10. (1981). Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. doi
  11. (1993). SIMPLS: An alternative approach to partial least squares regression. doi
  12. (1998). Variational learning for switching state-space models. doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.