H. Langseth and T. D. Nielsen. Fusion of domain knowledge with data for structural learning in object oriented domains. J. Mach. Learn. Res., 2003. to appear. Home/Search Document Details and Download
Summary Related Articles |
This paper is cited in the following contexts:
Learning Module Networks - Segal, Pe'er, Regev (2003) (2 citations) (Correct)
....this assumption requires that we be careful in making certain steps in the structure search, as they have more global effects than on just one or two variables. Due to these differences, we cannot simply apply an OOBN structure learning algorithm, such as the one proposed by Langseth and Nielsen [18], to such complex, high dimensional domains. In PRMs, the probabilistic dependency structure of the objects in a class is determined by the relational structure of the domain (e.g. the Cost attribute of a particular car object might depend on the Income attribute of the object representing this ....
H. Langseth and T. D. Nielsen. Fusion of domain knowledge with data for structural learning in object oriented domains. J. Mach. Learn. Res., 2003. to appear.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC