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» Selection of Subsets of Ordered Features in Machine Learning
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ECIR
2003
Springer
15 years 7 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...
AE
2007
Springer
16 years 7 days ago
A Study of Crossover Operators for Gene Selection of Microarray Data
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...
Jose Crispin Hernandez Hernandez, Béatrice ...
EMNLP
2009
15 years 3 months ago
First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
Zhifei Li, Jason Eisner
ICPR
2008
IEEE
16 years 14 days ago
On second order operators and quadratic operators
In pattern recognition, computer vision, and image processing, many approaches are based on second order operators. Well-known examples are second order networks, the 3D structure...
Michael Felsberg
ICIP
2001
IEEE
16 years 7 months ago
Higher order autocorrelations for pattern classification
The use of higher-order local autocorrelations as features for pattern recognition has been acknowledged since many years, but their applicability was restricted to relatively low...
Vlad Popovici, Jean-Philippe Thiran