30 search results - page 3 / 6 » Hierarchical Partitioning for Piecewise Linear Algorithms |
EUROPAR
2004
Springer
13 years 11 months ago
2004
Springer
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
SIMPRA
2008
13 years 7 months ago
2008
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
FPL
2009
Springer
14 years 6 days ago
2009
Springer
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
SOFSEM
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we deal with making drawings of clustered hierarchical graphs nicer. Given a planar graph G = (V, E) with an assignment of the vertices to horizontal layers, a plane ...
PAA
2002
13 years 7 months ago
2002
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...