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» Using Bayesian Networks to Model Agent Relationships
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AI
2006
Springer
15 years 1 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»
14 years 10 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
14 years 11 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...
EDM
2008
104views Data Mining» more  EDM 2008»
14 years 11 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 3 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