Instance-based Learning for ICD10 Categorization

The machine-learning forecasts are constructed by training the model on delinquency data from October 2008 to December 2008 and using input data from September 2008 to construct

For most targets and contrary to common assumption, there is little advantage in training machine machine-learning SFs for per- target vs using a more generic approach (in this

• Finally, based on our findings, we discuss (1) the as- sessment protocols of machine learning-based mal- ware detection techniques, and (2) the design of datasets for

The final results of the two computational models LP1 and LP2, are presented for the sets of training and prediction, in order to observe what computational model and which

The basic idea of using Wikipedia articles as corpus is to use all articles, which belong to a particular category, as training samples for that category.. Different machine