Sentence examples for difficult classification from inspiring English sources

Given that the MOOC used in our study had over 3,500 unique resources, predicting the exact resource that a student will interact with next might appear to be a difficult classification problem.

We have shown that AFs improve classifier performance on concrete and difficult classification problems.

The largest impact of applying the ideal AD measure is expected for intermediately difficult classification problems.

For very difficult classification problems with a high error rate reliable confidence estimation would be most desirable.

Description of all equations with characteristic x- and n-rings of finite dimensions is a very difficult classification problem.

The realization that general purpose features do not always represent relevant information in signals from difficult classification problems was at the origin of the development of extractor discovery system (EDS), probably the first audio feature generation system [45, 46].

In the context of an exemption so sweeping as the one before us here, its administration need not entangle government in difficult classifications of what is or is not religious, for any organization -- although not religious in a customary sense -- would qualify under the pervasive rubric of a group dedicated to the moral and cultural improvement of men.

Hybrid wavelet large margin classifiers have recently proven to solve difficult signal classification problems in cases where solely using a large margin classifier like, e.g., the Support Vector Machine may fail.

We report on several projects using AFs for difficult audio classification tasks, demonstrating their advantage over standard audio features.

Second, we describe several projects using EDS to solve difficult audio classification tasks, thereby extending the usual scope of examples used in the literature.

In the following sections, we describe the results obtained with AFs on several difficult audio classification tasks, and report on the most salient aspects of these studies.