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Finally, promising results presented in this paper provide evidence that research on acute inflammation treatment can benefit from methods from the machine learning community.
We propose that training feature-based classifiers using robust classification methods from the machine learning literature will better optimize the contribution of each feature to the discrimination of true and false positive somatic mutation predictions.
However, it does demonstrate that methods from the machine-learning and data-mining literatures can be exploited in this situation for their ability to find patterns in high dimensional data sets.
Machine learning was applied to these datasets using a number of methods from the WEKA machine learning package [ 32] and BioHEL, a rule based learner [ 31].
If the machine that strives for remote access invokes a method from the object reference of the machine which is in possession of the remote object, the method on the remote object is executed.
Tables 6 and 7 show cross-validation results from the machine learning methods, using local and PPMI data respectively.
For instances, two-stage model can be constructed from the machine learning methods in order to exhaustively detect the gene-gene interactions.
Recently, several works have approached the splice-junction problem by applying methods from the field of machine learning techniques.
Remove promptly from the machine.
Read the procedures from the machine.
Collect items from the machine surprise.
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