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EMNLP
2011
12 years 7 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
BMCBI
2007
123views more  BMCBI 2007»
13 years 7 months ago
GO for gene documents
Annotating genes and their products with Gene Ontology codes is an important area of research. One approach for doing this is to use the information available about these genes in...
Padmini Srinivasan, Xin Ying Qiu
CSB
2005
IEEE
133views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Creating a Protein Ontology Resource
Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications; which in turn may embody complex interactions with other da...
Amandeep S. Sidhu, Tharam S. Dillon, Elizabeth Cha...
CIKM
2008
Springer
13 years 9 months ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 7 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic