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» Set cover algorithms for very large datasets
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EPIA
2005
Springer
15 years 10 months ago
CONAN: An Integrative System for Biomedical Literature Mining
The amount of information about the genome, transcriptome and proteome, forms a problem for the scientific community: how to find the right information in a reasonable amount of ...
Rainer Malik, Arno Siebes
BMCBI
2010
161views more  BMCBI 2010»
15 years 1 months ago
LTC: a novel algorithm to improve the efficiency of contig assembly for physical mapping in complex genomes
Background: Physical maps are the substrate of genome sequencing and map-based cloning and their construction relies on the accurate assembly of BAC clones into large contigs that...
Zeev Frenkel, Etienne Paux, David I. Mester, Cathe...
IJCAI
2003
15 years 5 months ago
Semi-Supervised Learning with Explicit Misclassification Modeling
This paper investigates a new approach for training discriminant classifiers when only a small set of labeled data is available together with a large set of unlabeled data. This a...
Massih-Reza Amini, Patrick Gallinari
BMCBI
2005
306views more  BMCBI 2005»
15 years 4 months ago
A method for aligning RNA secondary structures and its application to RNA motif detection
Background: Alignment of RNA secondary structures is important in studying functional RNA motifs. In recent years, much progress has been made in RNA motif finding and structure a...
Jianghui Liu, Jason Tsong-Li Wang, Jun Hu, Bin Tia...
ICPR
2004
IEEE
16 years 5 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin