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» Learning from Highly Structured Data by Decomposition
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ECML
2007
Springer
15 years 10 months ago
A Simple Lexicographic Ranker and Probability Estimator
Given a binary classification task, a ranker sorts a set of instances from highest to lowest expectation that the instance is positive. We propose a lexicographic ranker, LexRank,...
Peter A. Flach, Edson Takashi Matsubara
BMCBI
2005
126views more  BMCBI 2005»
15 years 3 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
IDEAS
2005
IEEE
142views Database» more  IDEAS 2005»
15 years 9 months ago
Automatically Maintaining Wrappers for Web Sources
A substantial subset of the web data follows some kind of underlying structure. Nevertheless, HTML does not contain any schema or semantic information about the data it represents...
Juan Raposo, Alberto Pan, Manuel Álvarez, J...
ENTCS
2008
121views more  ENTCS 2008»
15 years 4 months ago
Building Certified Static Analysers by Modular Construction of Well-founded Lattices
This paper presents fixpoint calculations on lattice structures as example of highly modular programming in a dependently typed functional language. We propose a library of Coq mo...
David Pichardie
TCBB
2008
108views more  TCBB 2008»
15 years 3 months ago
Statistical Characterization of Protein Ensembles
When accounting for structural fluctuations or measurement errors, a single rigid structure may not be sufficient to represent a protein. One approach to solve this problem is to r...
Diego Rother, Guillermo Sapiro, Vijay Pande