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CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 1 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
NIPS
2008
14 years 11 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters
ARC
2010
Springer
154views Hardware» more  ARC 2010»
14 years 9 months ago
Perspectives on system identification
: System identification is the art and science of building mathematical models of dynamic systems from observed input-output data. It can be seen as the interface between the real ...
Lennart Ljung
EOR
2006
76views more  EOR 2006»
14 years 9 months ago
Regional development assessment: A structural equation approach
We propose a multivariate statistical framework for regional development assessment based on structural equation modelling with latent variables and show how such methods can be c...
Dario Cziráky, Joze Sambt, Joze Rovan, Jaks...
CSDA
2007
151views more  CSDA 2007»
14 years 9 months ago
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
Marco Alfò, Alessio Farcomeni, Luca Tardell...