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ACL
2006
15 years 5 months ago
Relation Extraction Using Label Propagation Based Semi-Supervised Learning
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 ...
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
15 years 9 months ago
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
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...
Federico Divina, Maarten Keijzer, Elena Marchiori
ECOOPW
2000
Springer
15 years 8 months ago
Tools and Environments for Understanding Object-Oriented Concepts
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...
Isabel Michiels, Alejandro Fernández, J&uum...
SIGCSE
2004
ACM
101views Education» more  SIGCSE 2004»
15 years 9 months ago
PL-detective: a system for teaching programming language concepts
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...
Amer Diwan, William M. Waite, Michele H. Jackson
IJCAI
1989
15 years 5 months ago
Concept Formation by Incremental Conceptual Clustering
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 ...
Mirsad Hadzikadic, David Y. Y. Yun