supervised classification at the word level. Applied to unlabeled texts, our approach enables researchers to automatically detect …

supervised classification at the word level. Applied to unlabeled texts, our approach enables researchers to automatically detect …

, we formulate and focus on a supervised classification task which decides if a plain short straddle on the S&P500 should …. On the basis of this work, we have laid the foundations for the application of supervised classification methods to more …

-related view. Built on unique data from a real-world global automotive manufacturer, a supervised classification model is trained …

efficient. Automatic supervised classification is accomplished on the extracted discriminatory features using support vector …