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TSMC
2002
112views more  TSMC 2002»
13 years 4 months ago
A method for evaluating elicitation schemes for probabilistic models
We present an objective approach for evaluating probability and structure elicitation methods in probabilistic models. The main idea is to use the model derived from the experts�...
Haiqin Wang, Denver Dash, Marek J. Druzdzel
ICDE
2008
IEEE
133views Database» more  ICDE 2008»
14 years 6 months ago
Database Support for Probabilistic Attributes and Tuples
Abstract-- The inherent uncertainty of data present in numerous applications such as sensor databases, text annotations, and information retrieval motivate the need to handle impre...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...
IJCV
2000
161views more  IJCV 2000»
13 years 5 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
NIPS
2001
13 years 6 months ago
Latent Dirichlet Allocation
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
David M. Blei, Andrew Y. Ng, Michael I. Jordan
IJCNN
2000
IEEE
13 years 9 months ago
Probabilistic Neural Network Models for Sequential Data
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
Yoshua Bengio