Semi-Supervised Learning of Concatenative Morphology

Semi-supervised induction of a concatenative morphology with simple morphotactics A model in the Morfessor family

Advances in Weakly Supervised Learning of Morphology

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Oskar Kohonen Name of the doctoral dissertation Advances in Weakly Supervised Learning of Morphology Publisher School of Science Unit Department of Computer Science Series Aalto University publication series DOCTORAL DISSERTATIONS 91/2015 Field of research Language Technology Manuscript submitted 19 January 2014 Date of the de...

Semi-Supervised Learning Based Prediction of Musculoskeletal Disorder Risk

This study explores a semi-supervised classification approach using random forest as a base classifier to classify the low-back disorders (LBDs) risk associated with the industrial jobs. Semi-supervised classification approach uses unlabeled data together with the small number of labelled data to create a better classifier. The results obtained by the proposed approach are compared with those o...

Wised Semi-Supervised Cluster Ensemble Selection: A New Framework for Selecting and Combing Multiple Partitions Based on Prior knowledge

The Wisdom of Crowds, an innovative theory described in social science, claims that the aggregate decisions made by a group will often be better than those of its individual members if the four fundamental criteria of this theory are satisfied. This theory used for in clustering problems. Previous researches showed that this theory can significantly increase the stability and performance of...

Wised Semi-Supervised Cluster Ensemble Selection: A New Framework for Selecting and Combing Multiple Partitions Based on Prior knowledge

The Wisdom of Crowds, an innovative theory described in social science, claims that the aggregate decisions made by a group will often be better than those of its individual members if the four fundamental criteria of this theory are satisfied. This theory used for in clustering problems. Previous researches showed that this theory can significantly increase the stability and performance of...