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» A computational model of belief
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SUM
2009
Springer
16 years 26 days ago
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Alessandro Antonucci, Alberto Piatti
HICSS
2006
IEEE
141views Biometrics» more  HICSS 2006»
16 years 12 days ago
Affective Quality and Cognitive Absorption: Extending Technology Acceptance Research
Agarwal and Karahanna (2000) suggested that holistic user experiences with IT contribute to users’ evaluation of and reaction to using the technology. They proposed and empirica...
Ping Zhang 0002, Na Li, Heshan Sun
ITS
2000
Springer
94views Multimedia» more  ITS 2000»
15 years 10 months ago
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
R. Charles Murray, Kurt VanLehn
PRICAI
2000
Springer
15 years 10 months ago
Virtual Enterprise Design - BDI Agents vs. Objects
Current research identifying architectures for a virtual enterprise has moved from information modelling to role modelling. Thus, a high level of autonomy results from the distribu...
Iyad Rahwan, Ryszard Kowalczyk, Yun Yang
NIPS
2003
15 years 7 months ago
Pairwise Clustering and Graphical Models
Significant progress in clustering has been achieved by algorithms that are based on pairwise affinities between the datapoints. In particular, spectral clustering methods have ...
Noam Shental, Assaf Zomet, Tomer Hertz, Yair Weiss