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CORR
2006
Springer
119views Education» more  CORR 2006»
13 years 7 months ago
Network Inference from Co-Occurrences
The study of networked systems is an emerging field, impacting almost every area of engineering and science, including the important domains of communication systems, biology, soc...
Michael Rabbat, Mário A. T. Figueiredo, Rob...
IJAR
2008
83views more  IJAR 2008»
13 years 7 months ago
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...
Alessandro Antonucci, Marco Zaffalon
EXPERT
2006
156views more  EXPERT 2006»
13 years 7 months ago
Computational Models of Ethical Reasoning: Challenges, Initial Steps, and Future Directions
on abstract principles that you can't easily apply in a formal, deductive fashion. So, the favorite tools of logicians and mathematicians, such as firstorder logic, aren'...
Bruce M. McLaren
JAPLL
2008
91views more  JAPLL 2008»
13 years 7 months ago
Undoing the effects of action sequences
In this paper, we study the following basic problem: After having executed a sequence of actions, find a sequence of actions that brings the agent back to the state just before th...
Thomas Eiter, Esra Erdem, Wolfgang Faber
JMLR
2006
169views more  JMLR 2006»
13 years 7 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...