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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 2 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
BMCBI
2004
134views more  BMCBI 2004»
13 years 7 months ago
Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE)
Background: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature ...
Ricardo Z. N. Vêncio, Helena Brentani, Diogo...
CORR
2000
Springer
98views Education» more  CORR 2000»
13 years 7 months ago
Scientific Collaboratories as Socio-Technical Interaction Networks: A Theoretical Approach
Collaboratories refer to laboratories where scientists can work together while they are in distant locations from each other and from key equipment. They have captured the interes...
Rob Kling, Geoffrey W. McKim, Joanna Fortuna, Adam...
ICVS
2003
Springer
14 years 1 months ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock
IWPC
2002
IEEE
14 years 27 days ago
Architecture Recovery of Dynamically Linked Applications: A Case Study
Most previously published case studies in architecture recovery have been performed on statically linked software systems. Due to the increase in use of middleware technologies, s...
Igor Ivkovic, Michael W. Godfrey