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» Dimension Reduction for Supervised Ordering
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IJON
2008
109views more  IJON 2008»
13 years 7 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
BMCBI
2010
243views more  BMCBI 2010»
13 years 7 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
SDM
2007
SIAM
96views Data Mining» more  SDM 2007»
13 years 8 months ago
Higher Order Orthogonal Iteration of Tensors (HOOI) and its Relation to PCA and GLRAM
This paper presents a unified view of a number of dimension reduction techniques under the common framework of tensors. Specifically, it is established that PCA, and the recentl...
Bernard N. Sheehan, Yousef Saad
DAC
1999
ACM
13 years 11 months ago
Model Order-Reduction of RC(L) Interconnect Including Variational Analysis
As interconnect feature sizes continue to scale to smaller dimensions, long interconnect can dominate the IC timing performance, but the interconnect parameter variations make it ...
Ying Liu, Lawrence T. Pileggi, Andrzej J. Strojwas
COCO
2004
Springer
79views Algorithms» more  COCO 2004»
13 years 11 months ago
Small Spans in Scaled Dimension
Juedes and Lutz (1995) proved a small span theorem for polynomial-time many-one reductions in exponential time. This result says that for language A decidable in exponential time,...
John M. Hitchcock