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» On the Evaluation of Quality of Context
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AIIDE
2006
15 years 8 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
AIPS
2009
15 years 7 months ago
Enhancing the Context-Enhanced Additive Heuristic with Precedence Constraints
Recently, Helmert and Geffner proposed the context-enhanced additive heuristic, where fact costs are evaluated relative to context states that arise from achieving first a pivot c...
Dunbo Cai, Jörg Hoffmann, Malte Helmert
ML
2000
ACM
150views Machine Learning» more  ML 2000»
15 years 6 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
SAC
2008
ACM
15 years 6 months ago
The volume in focus: hardware-assisted focus and context effects for volume visualization
In many volume visualization applications there is some region of specific interest where we wish to see fine detail - yet we do not want to lose an impression of the overall pict...
Marcelo Cohen, Ken W. Brodlie, Nick Phillips
SOCINFO
2010
15 years 5 months ago
Dynamic Context-Sensitive PageRank for Expertise Mining
Abstract. Online tools for collaboration and social platforms have become omnipresent in Web-based environments. Interests and skills of people evolve over time depending in perfor...
Daniel Schall, Schahram Dustdar