Shortage of manually labeled data is an obstacle to supervised relation extraction methods. In this paper we investigate a graph based semi-supervised learning algorithm, a label ...
Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting th...
The objective of this workshop was to discuss current tools and environments for learning object-oriented concepts and to share ideas and experiences about the usage of computer su...
The educational literature recognizes that people go through a number of stages in their intellectual development. During the first stage, called received knowledge or dualism, p...
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...