Weight Determination by Manifold Regularization
2010 (English)In: Distributed Decision-Making and Control / [ed] Rolf Johansson and Anders Rantzer, Springer London, 2010, 195-214 p.Chapter in book (Refereed)
A new type of linear kernel smoother is derived and studied. The smoother, referred to as weight determination by manifold regularization, is the solution to a regularized least squares problem. The regularization avoids overfitting and can be used to express prior knowledge of an underlying smooth function. An interesting property ofthe kernel smoother is that it is well suited for systems govern by the semi-supervised smoothness assumption. Several examples are given to illustrate this property. We also discuss why these types of techniques can have a potential interest for the system identification community.
Place, publisher, year, edition, pages
Springer London, 2010. 195-214 p.
, Lecture Notes in Control and Information Sciences, ISSN 0170-8643 ; 417
Regularization, Weight determination
IdentifiersURN: urn:nbn:se:liu:diva-60987DOI: 10.1007/978-1-4471-2265-4_9ISBN: 978-1-4471-2264-7ISBN: 978-1-4471-2265-4OAI: oai:DiVA.org:liu-60987DiVA: diva2:360031