@incollection{JanSmaGro1995, Author = {Jansen, Arjan and Smagt, Patrick van der and Groen, Frans}, Title = {Nested Networks for Robot Control}, Year = {1995}, Pages = {221--239}, Editor = {A. F. Murray}, Publisher = {Kluwer Academic Publishers}, Address = {Dordrecht, the Netherlands}, Booktitle = {Applications of Neural Networks}, Url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.7858}, Keywords = {brml machine-learning}, Abstract = {We present a method for accurate representation of high-dimensional unknown functions from random samples drawn from its input space. The method builds representations of the function by recursively splitting the input space in smaller subspaces. The representations of the function at all levels (i.e., depths in the tree) are retained during the learning process, such that a good generalisation is available as well as more accurate representations in some subareas. Therefore, fast and accurate learning are combined in this method.} } @COMMENT{Bibtex file generated on 2018-10-9 with typo3 si_bibtex plugin. Data from https://brml.org/projects/machine-learning-ml/ }