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ILP
2003
Springer
14 years 24 days ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
COLING
2010
13 years 2 months ago
Unsupervised Synthesis of Multilingual Wikipedia Articles
In this paper, we propose an unsupervised approach to automatically synthesize Wikipedia articles in multiple languages. Taking an existing high-quality version of any entry as co...
Yuncong Chen, Pascale Fung
CDC
2010
IEEE
172views Control Systems» more  CDC 2010»
12 years 11 months ago
Electrical centrality measures for electric power grid vulnerability analysis
— This paper investigates measures of centrality that are applicable to power grids. Centrality measures are used in network science to rank the relative importance of nodes and ...
Zhifang Wang, Anna Scaglione, Robert J. Thomas
FOCI
2007
IEEE
14 years 1 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
ICCV
2007
IEEE
14 years 9 months ago
Learning Auto-Structured Regressor from Uncertain Nonnegative Labels
In this paper, we take the human age and pose estimation problems as examples to study automatic designing regressor from training samples with uncertain nonnegative labels. First...
Shuicheng Yan, Huan Wang, Xiaoou Tang, Thomas S. H...