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ICML
2002
IEEE
16 years 7 months ago
Active + Semi-supervised Learning = Robust Multi-View Learning
In a multi-view problem, the features of the domain can be partitioned into disjoint subsets (views) that are sufficient to learn the target concept. Semi-supervised, multi-view a...
Ion Muslea, Steven Minton, Craig A. Knoblock
ADMI
2009
Springer
16 years 1 months ago
Concept Learning for Achieving Personalized Ontologies: An Active Learning Approach
In many multiagent approaches, it is usual to assume the existence of a common ontology among agents. However, in dynamic systems, the existence of such an ontology is unrealistic ...
Murat Sensoy, Pinar Yolum
AAAI
2006
15 years 8 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
ICALT
2008
IEEE
16 years 29 days ago
A Study on Personality in Designing Adaptive e-Learning Systems
The aim of this study is to understand how learners with different personality respond to an e-learning content structure, by which it will help to build an instance of personalit...
Amal Al-Dujaily, Hokyoung Ryu
ICALT
2006
IEEE
16 years 17 days ago
Trace Analysis in Instrumented Collaborative Learning Environments
Observation activity, on instrumented collective learning situations, enables participants to appropriate themselves corresponding systems in their own practice. In this paper, we...
Christophe Courtin, Stephane Talbot