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IJCNN
2007
IEEE
16 years 1 months ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier
COLT
1999
Springer
15 years 12 months ago
On PAC Learning Using Winnow, Perceptron, and a Perceptron-like Algorithm
In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
Rocco A. Servedio
ICML
1997
IEEE
16 years 8 months ago
Robot Learning From Demonstration
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
Christopher G. Atkeson, Stefan Schaal
CVPR
2005
IEEE
16 years 9 months ago
A Semi-Supervised Active Learning Framework for Image Retrieval
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
Steven C. H. Hoi, Michael R. Lyu
ICALT
2008
IEEE
16 years 2 months ago
Using Learning Styles and Preferences to Incorporate Emerging E-Learning Tools in Teaching
Emerging e-learning tools have the potential to enrich academic environments. However, there is a need to understand the requirements, expectations, and learning styles of the end...
Nauman Saeed, Yun Yang