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» Using Bayesian Networks for Cleansing Trauma Data
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VLDB
2001
ACM
139views Database» more  VLDB 2001»
15 years 2 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...
BMCBI
2007
168views more  BMCBI 2007»
14 years 9 months ago
Bayesian model-based inference of transcription factor activity
Background: In many approaches to the inference and modeling of regulatory interactions using microarray data, the expression of the gene coding for the transcription factor is co...
Simon Rogers, Raya Khanin, Mark Girolami
JMLR
2008
209views more  JMLR 2008»
14 years 9 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
ICML
2004
IEEE
15 years 10 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
DASFAA
2007
IEEE
175views Database» more  DASFAA 2007»
15 years 4 months ago
Bayesian Reasoning for Sensor Group-Queries and Diagnosis
As large-scale sensor networks are being deployed with the objective of collecting quality data to support user queries and decision-making, the role of a scalable query model beco...
Ankur Jain, Edward Y. Chang, Yuan-Fang Wang