Sciweavers

20 search results - page 1 / 4
» Applying General Bayesian Techniques to Improve TAN Inductio...
Sort
View
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
13 years 9 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
KBSE
2005
IEEE
13 years 10 months ago
Automated population of causal models for improved software risk assessment
Recent work in applying causal modeling (Bayesian networks) to software engineering has resulted in improved decision support systems for software project managers. Once the causa...
Peter Hearty, Norman E. Fenton, Martin Neil, Patri...
CLADE
2008
IEEE
13 years 11 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
BMCBI
2010
158views more  BMCBI 2010»
13 years 5 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....
IGARSS
2010
13 years 2 months ago
Towards Bayesian estimator selection for QuikSCAT wind and rain estimation
The QuikSCAT scatterometer infers wind vectors over the ocean using measurements of the surface backscatter. During rain events the QuikSCAT observations are subject to rain conta...
Michael P. Owen, David G. Long