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» Programming by Demonstration for Information Agents
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AAAI
2006
15 years 19 days ago
Robust Support Vector Machine Training via Convex Outlier Ablation
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
Linli Xu, Koby Crammer, Dale Schuurmans
AAAI
1993
15 years 16 days ago
Generating Quasi-symbolic Representation of Three-Dimensional Flow
Understanding flow in the three-dimensional phase space is challenging both to human experts and to current computer science technology. To break through the barrier, we are build...
Toyoaki Nishida
AAMAS
2011
Springer
14 years 6 months ago
Long-term fairness with bounded worst-case losses
How does one repeatedly choose actions so as to be fairest to the multiple beneficiaries of those actions? We examine approaches to discovering sequences of actions for which the...
Gabriel Catalin Balan, Dana Richards, Sean Luke
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 5 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
EUROSYS
2008
ACM
15 years 8 months ago
Manageable fine-grained information flow
The continuing frequency and seriousness of security incidents underlines the importance of application security. Decentralized information flow control (DIFC), a promising tool ...
Petros Efstathopoulos, Eddie Kohler