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Machine Learning for Bioclimatic Modelling
Machine Learning Bioclimatic Modelling Geographic Range Artificial Neural Network Evolutionary Algorithm
2013/5/2
Many machine learning (ML) approaches are widely used to generate bioclimatic models for prediction of geographic range of organism as a function of climate. Applications such as prediction of range s...
Identifying Hosts of Families of Viruses: A Machine Learning Approach
viral host machine learning adaboost alternating decision tree mismatch k-mers
2011/6/21
Identifying viral pathogens and characterizing their transmission is essential to developing effective
public health measures in response to a pandemic. Phylogenetics, though currently the most popul...
Self-configuration from a Machine-Learning Perspective
Machine-Learning Perspective Self-configuration Sequen-tial Parameter Optimization
2011/6/21
The goal of machine learning is to provide solutions which are trained by data
or by experience coming from the environment. Many training algorithms exist and
some brilliant successes were achieved...