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ICML
2010
IEEE
15 years 26 days ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 6 months ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
FTRTFT
1994
Springer
15 years 3 months ago
Specification and Refinement of Finite Dataflow Networks - a Relational Approach
We specify the black box behavior of dataflow components by characterizing the relation between their input and their output histories. We distinguish between three main classes of...
Manfred Broy, Ketil Stølen
EMMCVPR
2007
Springer
15 years 6 months ago
Decomposing Document Images by Heuristic Search
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. I...
Dashan Gao, Yizhou Wang
ICMLA
2010
14 years 9 months ago
Heuristic Method for Discriminative Structure Learning of Markov Logic Networks
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
Quang-Thang Dinh, Matthieu Exbrayat, Christel Vrai...