Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi...
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Business Schools are experiencing increased competitive pressures, and one way to differentiate and compete distinctively is through the adoption of innovative uses of information...
Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and t...
Educational games may improve learning by taking advantage of the new knowledge and skills of today's students obtained from extensive use of interactive games. This paper des...
Tor Ivar Eikaas, Bjarne A. Foss, Ole K. Solbj&osla...