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» Learning Concepts by Modeling Relationships
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ACMACE
2007
ACM
15 years 8 months ago
Motivated reinforcement learning for adaptive characters in open-ended simulation games
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
Kathryn Elizabeth Merrick, Mary Lou Maher
ICDAR
2009
IEEE
15 years 11 months ago
Inductive Logic Programming for Symbol Recognition
In this paper, we make an attempt to use Inductive Logic Programming (ILP) to automatically learn non trivial descriptions of symbols, based on a formal description. This work is ...
K. C. Santosh, Bart Lamiroy, Jean-Philippe Ropers
131
Voted
EDOC
2006
IEEE
15 years 10 months ago
What Applying of the ODP Viewpoints Teaches Us about Tool-Chains
For some time, we have focused our research on the generic B2B middleware services for managing interenterprise communities of autonomous business services. In contrast to some ea...
Lea Kutvonen
TRECVID
2007
15 years 5 months ago
The NTU Toolkit and Framework for High-Level Feature Detection at TRECVID 2007
In TRECVID 2007 high-level feature (HLF) detection, we extend the well-known LIBSVM and develop a toolkit specifically for HLF detection. The package shortens the learning time an...
Ming-Fang Weng, Chun-Kang Chen, Yi-Hsuan Yang, Ron...
168
Voted
CIKM
2010
Springer
15 years 1 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan