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FLAIRS
2008
13 years 10 months ago
Semantic Analysis of Association Rules
When applying association mining to real datasets, a major obstacle is that often a huge number of rules are generated even with very reasonable support and confidence. Among thes...
Ping Chen, Rakesh M. Verma, Janet C. Meininger, We...
ICML
2008
IEEE
14 years 8 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih
ECCV
2004
Springer
14 years 9 months ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
QSIC
2006
IEEE
14 years 1 months ago
Software Project Level Estimation Model Framework based on Bayesian Belief Networks
Software estimation models should support managerial decision making in software projects. We experience that most of current models do not achieve this goal to the extend manager...
Hao Wang, Fei Peng, Chao Zhang, Andrej Pietschker
JSS
2007
109views more  JSS 2007»
13 years 7 months ago
Using Bayesian belief networks for change impact analysis in architecture design
Research into design rationale in the past has focused on argumentation-based design deliberations. These approaches cannot be used to support change impact analysis effectively ...
Antony Tang, Ann E. Nicholson, Yan Jin, Jun Han