Sciweavers

91 search results - page 1 / 19
» Investigation into Biomedical Literature Classification Usin...
Sort
View
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Investigation into Biomedical Literature Classification Using Support Vector Machines
Specific topic search in the PubMed Database, one of the most important information resources for scientific community, presents a big challenge to the users. The researcher typic...
Nalini Polavarapu, Shamkant B. Navathe, Ramprasad ...
BMCBI
2005
251views more  BMCBI 2005»
13 years 4 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
BMCBI
2005
136views more  BMCBI 2005»
13 years 4 months ago
Gene/protein name recognition based on support vector machine using dictionary as features
Background: Automated information extraction from biomedical literature is important because a vast amount of biomedical literature has been published. Recognition of the biomedic...
Tomohiro Mitsumori, Sevrani Fation, Masaki Murata,...
BMCBI
2008
153views more  BMCBI 2008»
13 years 4 months ago
GAPscreener: An automatic tool for screening human genetic association literature in PubMed using the support vector machine tec
Background: Synthesis of data from published human genetic association studies is a critical step in the translation of human genome discoveries into health applications. Although...
Wei Yu, Melinda Clyne, Siobhan M. Dolan, Ajay Yesu...
KAIS
2006
121views more  KAIS 2006»
13 years 4 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara