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» Learning a Classification Model for Segmentation
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GEOINFO
2007
15 years 6 months ago
Comparison of Machine Learning Algorithms for Mapping the Phytophysiognomies of the Brazilian Cerrado
This present work describes the classification of the Phytophysiognomies present in the Brazilian Cerrado biome through the means Artificial Intelligence; data from remote sensing ...
Luciano T. de Oliveira, Thomaz C. de A. Oliveira, ...
BMCBI
2008
123views more  BMCBI 2008»
15 years 5 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
15 years 2 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
ECCV
2008
Springer
16 years 6 months ago
Learning to Localize Objects with Structured Output Regression
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
Matthew B. Blaschko, Christoph H. Lampert
139
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AUSAI
2006
Springer
15 years 8 months ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan