30 search results - page 3 / 6 » Hierarchical Partitioning for Piecewise Linear Algorithms |
EUROPAR
2004
Springer
13 years 9 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 5 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
13 years 10 months 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
13 years 12 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 5 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...