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» Measuring Complexity of Intelligent Machines
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ICTAI
1992
IEEE
14 years 2 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
CIBB
2008
14 years 25 days ago
Analysis of Kernel Based Protein Classification Strategies Using Pairwise Sequence Alignment Measures
Abstract. We evaluated methods of protein classification that use kernels built from BLAST output parameters. Protein sequences were represented as vectors of parameters (e.g. simi...
Dino Franklin, Somdutta Dhir, Sándor Pongor
AUSAI
2011
Springer
12 years 10 months ago
Automatically Measuring the Quality of User Generated Content in Forums
The amount of user generated content on the Web is growing and identifying high quality content in a timely manner has become a problem. Many forums rely on its users to manually r...
Kevin Chai, Chen Wu, Vidyasagar Potdar, Pedram Hay...
IEAAIE
1994
Springer
14 years 2 months ago
Large-Scale Machine Translation: An Interlingua Approach
In this paper we discuss the design and development of an interlingua for a large-scale MT project. We also discuss how the resulting KANT interlingua constrains complexity, suppo...
Deryle W. Lonsdale, Alexander Franz, John R. R. Le...
ISBI
2004
IEEE
14 years 11 months ago
Morphological Classification of Medical Images using Nonlinear Support Vector Machines
The wavelet decomposition of a high-dimensional shape transformation posed in a mass-preserving framework is used as a morphological signature of a brain image. Population differe...
Christos Davatzikos, Dinggang Shen, Zhiqiang Lao, ...