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» Approaching Manual Intelligence
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ATAL
2010
Springer
13 years 8 months ago
Combining manual feedback with subsequent MDP reward signals for reinforcement learning
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
W. Bradley Knox, Peter Stone
FLAIRS
2006
13 years 8 months ago
Conservative and Creative Strategies for the Refinement of Scoring Rules
In knowledge engineering research the refinement of manually developed intelligent systems is still one of the key issues. Since scoring rules are an intuitive and easy to impleme...
Joachim Baumeister, Martin Atzmüller, Peter K...
FLAIRS
2006
13 years 8 months ago
Towards an Ontology-Driven Approach for the Interoperability Problem in Security Compliance
In today's IT-centric, regulated and competitive environment, businesses rely more heavily on IT technologies. Organizations are often challenged by customers, business partn...
Alfred Ka Yiu Wong, Nandan Paramesh, Pradeep Kumar...
FLAIRS
2006
13 years 8 months ago
A Machine Learning Approach to Determine Semantic Dependency Structure in Chinese
In this paper, we attempt to automatically annotate the Penn Chinese Treebank with semantic dependency structure. Initially a small portion of the Penn Chinese Treebank was manual...
Jiajun Yan, David B. Bracewell, Fuji Ren, Shingo K...
CHI
2009
ACM
14 years 8 months ago
Gaze-augmented manual interaction
This project will demonstrate a new approach to employing users' gaze in the context of human-computer interaction. This new approach uses gaze passively in order to improve ...
Hans-Joachim Bieg