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ESSMAC
2003
Springer
14 years 1 months ago
Analysis of Some Methods for Reduced Rank Gaussian Process Regression
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
Joaquin Quiñonero Candela, Carl Edward Rasm...
DAC
1996
ACM
14 years 21 days ago
Pseudorandom-Pattern Test Resistance in High-Performance DSP Datapaths
The testability of basic DSP datapath structures using pseudorandom built-in self-test techniques is examined. The addition of variance mismatched signals is identified as a testi...
Laurence Goodby, Alex Orailoglu
BMCBI
2005
112views more  BMCBI 2005»
13 years 8 months ago
Towards precise classification of cancers based on robust gene functional expression profiles
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhe...
BMCBI
2008
130views more  BMCBI 2008»
13 years 8 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
SIVP
2008
142views more  SIVP 2008»
13 years 8 months ago
Improved phase estimation based on complete bispectrum and modified group delay
In this paper, a new method for extracting the system phase from the bispectrum of the system output has been proposed. This is based on the complete bispectral data computed in t...
S. V. Narasimhan, Nandini Basumallick, Ratana Chai...