PDF Archive search engine
Last database update: 25 October at 15:41 - Around 76000 files indexed.
a general inductive process automatically builds a classifier by learning from a set of preclassified documents (called training set) the characteristics of the categories.
• • • • • • Naive Bayes classifier which is a probabilistic classifier based on applying Bayes theorem with naive independence assumptions .
The model has two major parts, a classifier which determines the tokens that need to be normalized and a sequence to sequence model that normalizes the non standard tokens (Figure 2).
a general inductive process automatically builds a classifier by learning, from a set of preclassified documents (called training set), the characteristics of the categories.
Local stylometric features for authorship attribution in French fiction Michael Haaf 260846673 firstname.lastname@example.org ´ Etienne Fortier-Dubois 260430244 email@example.com Group 44 December 2018 Abstract The performance of a classifier for authorship attribution is highly dependent on the features extracted from the texts.
Decision Tree Classifier Results Overall, our Decision Tree classifiers were able to predict match outcome with an over 97% accuracy rate, emphasizing the connection between the in-game attributes collected and final match result.