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ICCAD
1995
IEEE
144views Hardware» more  ICCAD 1995»
15 years 10 months ago
Background memory management for dynamic data structure intensive processing systems
Abstract -- Telecommunication network management applications often require application-specific ICs that use large dynamically allocated stored data structures. Currently availab...
Gjalt G. de Jong, Bill Lin, Carl Verdonck, Sven Wu...
CSDA
2006
82views more  CSDA 2006»
15 years 7 months ago
Nearest neighbours in least-squares data imputation algorithms with different missing patterns
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
Ito Wasito, Boris Mirkin
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
16 years 24 days ago
Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse
In classification, with an increasing number of variables, the required number of observations grows drastically. In this paper we present an approach to put into effect the maxi...
Gero Szepannek, Claus Weihs
CSDA
2008
121views more  CSDA 2008»
15 years 7 months ago
ANOVA extensions for mixed discrete and continuous data
This paper is concerned withANOVA-like tests in the context of mixed discrete and continuous data. The likelihood ratio approach is used to obtain a location test in the mixed dat...
A. R. de Leon, Y. Zhu
INFFUS
2008
97views more  INFFUS 2008»
15 years 7 months ago
Using classifier ensembles to label spatially disjoint data
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...