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» Efficient Discovery of Confounders in Large Data Sets
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BMCBI
2007
143views more  BMCBI 2007»
15 years 6 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng
VLSID
2008
IEEE
128views VLSI» more  VLSID 2008»
16 years 6 months ago
A Novel Approach to Compute Spatial Reuse in the Design of Custom Instructions
In the automatic design of custom instruction set processors, there can be a very large set of potential custom instructions, from which a few instructions are required to be chos...
Nagaraju Pothineni, Anshul Kumar, Kolin Paul
ICML
2007
IEEE
16 years 7 months ago
Restricted Boltzmann machines for collaborative filtering
Most of the existing approaches to collaborative filtering cannot handle very large data sets. In this paper we show how a class of two-layer undirected graphical models, called R...
Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hin...
DATAMINE
2006
176views more  DATAMINE 2006»
15 years 6 months ago
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
Clipping is the process of transforming a real valued series into a sequence of bits representing whether each data is above or below the average. In this paper, we argue that clip...
Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana,...
ADHOC
2010
195views more  ADHOC 2010»
15 years 6 months ago
SDRT: A reliable data transport protocol for underwater sensor networks
In this paper, we investigate the reliable data transport problem in underwater sensor networks. Underwater sensor networks are significantly different from terrestrial sensor net...
Peng Xie, Zhong Zhou, Zheng Peng, Jun-Hong Cui, Zh...