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» SVM Approach to GeneRIF Annotation
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TREC
2003
13 years 6 months ago
SVM Approach to GeneRIF Annotation
In the biological domain, to extract the newly discovered functional features from massive literature is a major challenging issue. To automatically annotate GeneRIF in a new lite...
Wen-Juan Hou, Chun-Yuan Teng, Chih Lee, Hsin-Hsi C...
TREC
2003
13 years 6 months ago
Searching for geneRIFs: Concept-Based Query Expansion and Bayes Classification
k gene annotations. Our indexing machinery produces per indexed MEDLINE abstract a list of concepts with an accompanying weight, termed a fingerprint. Searching is done by matching...
Rob Jelier, Martijn J. Schuemie, C. Christiaan van...
BMCBI
2008
173views more  BMCBI 2008»
13 years 4 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
CLEF
2008
Springer
13 years 6 months ago
An SVM Confidence-Based Approach to Medical Image Annotation
This paper presents the algorithms and results of the "idiap" team participation to the ImageCLEFmed annotation task in 2008. On the basis of our successful experience in...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
AMR
2007
Springer
140views Multimedia» more  AMR 2007»
13 years 11 months ago
Learning Distance Functions for Automatic Annotation of Images
This paper gives an overview of recent approaches towards image representation and image similarity computation for content-based image retrieval and automatic image annotation (ca...
Josip Krapac, Frédéric Jurie