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» Outliers and Bayesian Inference
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ICPR
2006
IEEE
16 years 1 days ago
Bayesian Feedback in Data Clustering
In many clustering applications, the user has some vague notion of the number and membership of the desired clusters. However, it is difficult for the user to provide such knowled...
Anil K. Jain, Pavan Kumar Mallapragada, Martin H. ...
ICASSP
2009
IEEE
15 years 5 months ago
A Bayesian NETWORKS approach for dialog modeling: The fusion BN
Bayesian Networks, BNs, are suitable for mixed-initiative dialog modeling allowing a more flexible and natural spoken interaction. This solution can be applied to identify the in...
Fernando F. Fernández-Martínez, Javi...
ICDM
2009
IEEE
132views Data Mining» more  ICDM 2009»
15 years 5 months ago
Bayesian Overlapping Subspace Clustering
Given a data matrix, the problem of finding dense/uniform sub-blocks in the matrix is becoming important in several applications. The problem is inherently combinatorial since th...
Qiang Fu, Arindam Banerjee
ACG
2009
Springer
15 years 5 months ago
Performance and Prediction: Bayesian Modelling of Fallible Choice in Chess
Evaluating agents in decision-making applications requires assessing their skill and predicting their behaviour. Both are well developed in Poker-like situations, but less so in mo...
Guy Haworth, Kenneth W. Regan, Giuseppe Di Fatta
SEMWEB
2007
Springer
15 years 5 months ago
An Ontology-based Bayesian Network Approach for Representing Uncertainty in Clinical Practice Guidelines
Clinical Practice Guidelines (CPGs) play an important role in improving the quality of care and patient outcomes. Although several machine-readable representations of practice guid...
Hai-Tao Zheng, Bo-Yeong Kang, Hong-Gee Kim