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AAAI
2010
13 years 7 months ago
Structured Parameter Elicitation
The behavior of a complex system often depends on parameters whose values are unknown in advance. To operate effectively, an autonomous agent must actively gather information on t...
Li Ling Ko, David Hsu, Wee Sun Lee, Sylvie C. W. O...
FLAIRS
2001
13 years 7 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
AI
2009
Springer
13 years 10 months ago
Enumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs to be assessed for each node. It generally has the comple...
Yang Xiang, Zoe Jingyu Zhu, Yu Li
HAPTICS
2009
IEEE
14 years 10 days ago
Determining appropriate parameters to elicit linear and circular apparent motion using vibrotactile cues
This paper reports on two experiments we conducted to look at how to design effective linear and circular apparent-motion displays. Using a two-tactor array on the upper arm, the ...
Masataka Niwa, Robert W. Lindeman, Yuichi Itoh, Fu...
AMTA
2004
Springer
13 years 11 months ago
A Structurally Diverse Minimal Corpus for Eliciting Structural Mappings Between Languages
Abstract. We describe an approach to creating a small but diverse corpus in English that can be used to elicit information about any target language. The focus of the corpus is on ...
Katharina Probst, Alon Lavie