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» Using Bayesian Networks to Model Agent Relationships
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AI
2006
Springer
15 years 5 months ago
Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
Y. Xiang, N. Jia
ML
2008
ACM
100views Machine Learning» more  ML 2008»
15 years 1 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...
ESM
1998
15 years 3 months ago
Modelling of the Human Arterial Network for Preoperative Predictions
The aim of this project was the development of a user-friendly software package for physicians that can be used as an advisor in vessel surgery and as a training tool for medical ...
Christian Almeder, Felix Breitenecker, Siegfried W...
103
Voted
EDM
2008
104views Data Mining» more  EDM 2008»
15 years 3 months ago
Data-driven modelling of students' interactions in an ILE
This paper presents the development of two related machine-learned models which predict (a) whether a student can answer correctly questions in an ILE without requesting help and (...
Manolis Mavrikis
ATAL
2004
Springer
15 years 7 months ago
Degree of Local Cooperation and Its Implication on Global Utility
In a cooperative multi-agent system that is situated in an evolving environment, agents need to dynamically adjust their negotiation attitudes towards different agents in order to...
Jiaying Shen, Xiaoqin Zhang, Victor R. Lesser