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FLAIRS
2001
13 years 9 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
UAI
2001
13 years 9 months ago
Aggregating Learned Probabilistic Beliefs
We consider the task of aggregating beliefs of several experts. We assume that these beliefs are represented as probability distributions. We argue that the evaluation of any aggr...
Pedrito Maynard-Reid II, Urszula Chajewska
NIPS
1992
13 years 9 months ago
Some Solutions to the Missing Feature Problem in Vision
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
Subutai Ahmad, Volker Tresp
ML
2006
ACM
122views Machine Learning» more  ML 2006»
13 years 8 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
JMM2
2007
221views more  JMM2 2007»
13 years 8 months ago
Automatic Extraction of Femur Contours from Calibrated X-Ray Images using Statistical Information
— Automatic identification and extraction of bone contours from x-ray images is an essential first step task for further medical image analysis. In this paper we propose a 3D s...
Xiao Dong, Miguel Ángel González Bal...