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BMCBI
2007
171views more  BMCBI 2007»
13 years 7 months ago
Classification of microarray data using gene networks
Background: Microarrays have become extremely useful for analysing genetic phenomena, but establishing a relation between microarray analysis results (typically a list of genes) a...
Franck Rapaport, Andrei Zinovyev, Marie Dutreix, E...
SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
14 years 16 days ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
KDD
2012
ACM
166views Data Mining» more  KDD 2012»
11 years 10 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
BMCBI
2010
105views more  BMCBI 2010»
13 years 7 months ago
The Neural/Immune Gene Ontology: clipping the Gene Ontology for neurological and immunological systems
Background: The Gene Ontology (GO) is used to describe genes and gene products from many organisms. When used for functional annotation of microarray data, GO is often slimmed by ...
Nophar Geifman, Alon Monsonego, Eitan Rubin
ATAL
2007
Springer
13 years 11 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso