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AUSAI
2008
Springer
15 years 8 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
LREC
2010
173views Education» more  LREC 2010»
15 years 7 months ago
GIS Application Improvement with Multilingual Lexical and Terminological Resources
This paper introduces the results of integration of lexical and terminological resources, most of them developed within the Human Language Technology (HLT) Group at the University...
Ranka Stankovic, Ivan Obradovic, Olivera Kitanovic
DS
1997
117views Database» more  DS 1997»
15 years 7 months ago
Experience with a Combined Approach to Attribute-Matching Across Heterogeneous Databases
Determining attribute correspondences is a difficult, time-consuming, knowledge-intensive part of database integration. We report on experiences with tools that identified candi...
Chris Clifton, E. Housman, Arnon Rosenthal
CONSTRAINTS
2008
182views more  CONSTRAINTS 2008»
15 years 6 months ago
Constraint Programming in Structural Bioinformatics
Bioinformatics aims at applying computer science methods to the wealth of data collected in a variety of experiments in life sciences (e.g. cell and molecular biology, biochemistry...
Pedro Barahona, Ludwig Krippahl
IJON
2006
146views more  IJON 2006»
15 years 6 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang