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JMLR
2012
13 years 9 months ago
Deep Boltzmann Machines as Feed-Forward Hierarchies
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Grégoire Montavon, Mikio L. Braun, Klaus-Ro...
VIS
2008
IEEE
174views Visualization» more  VIS 2008»
16 years 8 months ago
Extensions of Parallel Coordinates for Interactive Exploration of Large Multi-Timepoint Data Sets
Parallel coordinate plots (PCPs) are commonly used in information visualization to provide insight into multi-variate data. These plots help to spot correlations between variables....
Jorik Blaas, Charl P. Botha, Frits H. Post
EDBT
2002
ACM
141views Database» more  EDBT 2002»
16 years 7 months ago
Efficient OLAP Query Processing in Distributed Data Warehouses
Abstract. The success of Internet applications has led to an explosive growth in the demand for bandwidth from ISPs. Managing an IP network requires collecting and analyzing networ...
Michael O. Akinde, Michael H. Böhlen, Theodor...
BMCBI
2007
149views more  BMCBI 2007»
15 years 7 months ago
Novel and simple transformation algorithm for combining microarray data sets
Background: With microarray technology, variability in experimental environments such as RNA sources, microarray production, or the use of different platforms, can cause bias. Suc...
Ki-Yeol Kim, Dong Hyuk Ki, Ha Jin Jeong, Hei-Cheul...
BMCBI
2006
115views more  BMCBI 2006»
15 years 7 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...