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Machine Learning and Its Applications to Biology
by
Chen, Xue-wen
, Carey, Vincent J
, Tarca, Adi L
, Drăghici, Sorin
, Romero, Roberto
in
Algorithms
/ Artificial Intelligence
/ Biology
/ Biology - methods
/ Classification
/ Cluster Analysis
/ Computer Simulation
/ Education
/ Life sciences
/ Machine learning
/ Models, Biological
/ Neural networks
/ Pattern Recognition, Automated - methods
/ Principal components analysis
/ Regression analysis
/ Studies
/ Study and teaching
2007
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Machine Learning and Its Applications to Biology
by
Chen, Xue-wen
, Carey, Vincent J
, Tarca, Adi L
, Drăghici, Sorin
, Romero, Roberto
in
Algorithms
/ Artificial Intelligence
/ Biology
/ Biology - methods
/ Classification
/ Cluster Analysis
/ Computer Simulation
/ Education
/ Life sciences
/ Machine learning
/ Models, Biological
/ Neural networks
/ Pattern Recognition, Automated - methods
/ Principal components analysis
/ Regression analysis
/ Studies
/ Study and teaching
2007
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Do you wish to request the book?
Machine Learning and Its Applications to Biology
by
Chen, Xue-wen
, Carey, Vincent J
, Tarca, Adi L
, Drăghici, Sorin
, Romero, Roberto
in
Algorithms
/ Artificial Intelligence
/ Biology
/ Biology - methods
/ Classification
/ Cluster Analysis
/ Computer Simulation
/ Education
/ Life sciences
/ Machine learning
/ Models, Biological
/ Neural networks
/ Pattern Recognition, Automated - methods
/ Principal components analysis
/ Regression analysis
/ Studies
/ Study and teaching
2007
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Journal Article
Machine Learning and Its Applications to Biology
2007
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Overview
[...]a section reviews methods and examples as implemented in the open source data analysis and visualization language R (http://www.r-project.org). The goal in supervised learning is to design a system able to accurately predict the class membership of new objects based on the available features. Besides predicting a categorical characteristic such as class label, (similar to classical discriminant analysis), supervised techniques can be applied as well to predict a continuous characteristic of the objects (similar to regression analysis).
Publisher
Public Library of Science,Public Library of Science (PLoS)
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