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CIKM
1997
Springer
13 years 11 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu
IPMU
2010
Springer
13 years 11 months ago
Credal Sets Approximation by Lower Probabilities: Application to Credal Networks
Abstract. Credal sets are closed convex sets of probability mass functions. The lower probabilities specified by a credal set for each element of the power set can be used as cons...
Alessandro Antonucci, Fabio Cuzzolin
ICRA
2005
IEEE
173views Robotics» more  ICRA 2005»
14 years 1 months ago
Decision Networks for Repair Strategies in Speech-Based Interaction with Mobile Tour-Guide Robots
– The main task of a voice-enabled tour-guide robot in mass exhibition setting is to engage visitors in dialogue and provide as much exhibit information as possible in a limited ...
Plamen J. Prodanov, Andrzej Drygajlo
IEEEARES
2008
IEEE
14 years 2 months ago
A Bayesian Approach for on-Line Max Auditing
In this paper we propose a method for on-line max auditing of dynamic statistical databases. The method extends the Bayesian approach presented in [2], [3] and [4] for static data...
Gerardo Canfora, Bice Cavallo
ICTAI
2005
IEEE
14 years 1 months ago
A Dynamic Bayesian Network for Handling Uncertainty in a Decision Support System Adapted to the Monitoring of Patients Treated b
Telemedicine is a mean of facilitating the distribution of human resources and professional competences. It can speed up diagnosis and therapeutic care delivery and allow peripher...
Cédric Rose, Cherif Smaili, François...