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AI
2011
Springer
14 years 10 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
AAAI
2011
14 years 6 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
ARGMAS
2006
Springer
15 years 10 months ago
An Argumentation-Based Approach for Practical Reasoning
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...
Iyad Rahwan, Leila Amgoud
ATAL
2006
Springer
15 years 8 months ago
An argumentation based approach for practical reasoning
We build on recent work on argumentation frameworks for generating desires and plans. We provide a rich instantiDung's abstract argumentation framework for (i) generating con...
Iyad Rahwan, Leila Amgoud
GTTSE
2007
Springer
16 years 16 days ago
Design Space of Heterogeneous Synchronization
Abstract. This tutorial explores the design space of heterogeneous synchronization, which is concerned with establishing consistency among artifacts that conform to different sche...
Michal Antkiewicz, Krzysztof Czarnecki