Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
Automatic recognition system for pejibaye palm DNA using SVM
ECC'08 Proceedings of the 2nd conference on European computing conference
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This present work presents a robust system for the feature reduction, using Deoxyribonucleic Acid (DNA) primer. This system reaches up to 100% classes identification based on Support Vector Machines (SVM). In particular, the biochemical parameterization has 89 Random Amplified polymorphic DNA (RADP) primers of Pejibaye Palm races, and it has been reduced to 10 RADP primers. The development of this application provides economic and computational advantages. When it is reduced the number of primers, this application reduces the economic cost, being a process so much cheaper, up to 11.24% from the initial process. On the other hand, the use of our supervised classification system is faster in order to do a method of origin denomination plant certification, due to reduce the dataset up to 11.24%.