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ECIR
2003
Springer
13 years 11 months ago
Representative Sampling for Text Classification Using Support Vector Machines
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi W...
BMCBI
2010
116views more  BMCBI 2010»
13 years 10 months ago
Optimization algorithms for functional deimmunization of therapeutic proteins
Background: To develop protein therapeutics from exogenous sources, it is necessary to mitigate the risks of eliciting an anti-biotherapeutic immune response. A key aspect of the ...
Andrew S. Parker, Wei Zheng, Karl E. Griswold, Chr...
FOGA
1990
13 years 11 months ago
A Comparative Analysis of Selection Schemes Used in Genetic Algorithms
This paper considers a number of selection schemes commonly used in modern genetic algorithms. Specifically, proportionate reproduction, ranking selection, tournament selection, a...
David E. Goldberg, Kalyanmoy Deb
CIMCA
2005
IEEE
14 years 3 months ago
Comparison of Performance between Different Selection Strategies on Simple Genetic Algorithms
This paper presents the comparison of performance on a simple genetic algorithm (SGA) using roulette wheel selection and tournament selection. A SGA is mainly composed of three ge...
Jinghui Zhong, Xiaomin Hu, Jun Zhang, Min Gu
EMNLP
2009
13 years 7 months ago
How well does active learning
Machine involvement has the potential to speed up language documentation. We assess this potential with timed annotation experiments that consider annotator expertise, example sel...
Jason Baldridge, Alexis Palmer