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ESANN
2008
13 years 10 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
CIKM
2006
Springer
14 years 20 days ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed
BMCBI
2007
157views more  BMCBI 2007»
13 years 9 months ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...
AGTIVE
2003
Springer
14 years 2 months ago
Specifying Pointer Structures by Graph Reduction
Graph-reduction specifications (GRSs) are a powerful new method for specifying classes of pointer data structures (shapes). They cover important shapes, like various forms of bal...
Adam Bakewell, Detlef Plump, Colin Runciman
APLAS
2010
ACM
13 years 9 months ago
Typechecking Higher-Order Security Libraries
Abstract. We propose a flexible method for verifying the security of ML programs that use cryptography and recursive data structures. Our main applications are X.509 certificate ch...
Karthikeyan Bhargavan, Cédric Fournet, Nata...