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» Learning Functions from Imperfect Positive Data
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NAR
2007
111views more  NAR 2007»
13 years 8 months ago
Michigan Molecular Interactions (MiMI): putting the jigsaw puzzle together
Protein interaction data exists in a number of repositories. Each repository has its own data format, molecule identifier and supplementary information. Michigan Molecular Interac...
Magesh Jayapandian, Adriane Chapman, V. Glenn Tarc...
BMCBI
2006
132views more  BMCBI 2006»
13 years 8 months ago
Genome-wide DNA polymorphism analyses using VariScan
Background: DNA sequence polymorphisms analysis can provide valuable information on the evolutionary forces shaping nucleotide variation, and provides an insight into the function...
Stephan Hutter, Albert J. Vilella, Julio Rozas
ESWS
2010
Springer
13 years 7 months ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 9 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
PRL
2002
213views more  PRL 2002»
13 years 8 months ago
Character preclassification based on genetic programming
This paper presents a learning system that uses genetic programming as a tool for automatically inferring the set of classification rules to be used during a preclassification sta...
Claudio De Stefano, Antonio Della Cioppa, Angelo M...