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IJUFKS
2000
111views more  IJUFKS 2000»
14 years 10 months ago
A Factorized Representation of Independence of Causal Influence and Lazy Propagation
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
Anders L. Madsen, Bruce D'Ambrosio
ICCAD
2003
IEEE
144views Hardware» more  ICCAD 2003»
15 years 7 months ago
A High-level Interconnect Power Model for Design Space Exploration
— In this paper, we present a high-level power model to estimate the power consumption in semi-global and global interconnects. Such interconnects are used for communications bet...
Pallav Gupta, Lin Zhong, Niraj K. Jha
TROB
2008
207views more  TROB 2008»
14 years 10 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...
FLAIRS
2001
14 years 11 months ago
A Method for Evaluating Elicitation Schemes for Probabilities
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Haiqin Wang, Denver Dash, Marek J. Druzdzel
AIME
2007
Springer
15 years 4 months ago
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
Traditional Chinese medicine (TCM) is an important avenue for disease prevention and treatment for the Chinese people and is gaining popularity among others. However, many remain s...
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wa...