Name
Title | ||
|---|---|---|
Quantitative Inference by Qualitative Semantic Knowledge Mining with Bayesian Model Averaging |
Abstract | ||
|---|---|---|
In this paper, we consider the problem of performing quantitative Bayesian inference and model averaging based on a set of qualitative statements about relationships. Statements are transformed into parameter constraints which are imposed onto a set of Bayesian networks. Recurrent relationship structures are resolved by unfolding in time to Dynamic Bayesian networks. The approach enables probabilistic inference by model averaging, i.e. it allows to predict probabilistic quantities from a set of qualitative constraints without probability assignment on the model parameters. Model averaging is performed by Monte Carlo integration techniques. The method is applied to a problem in a molecular medical context: We show how the rate of breast cancer metastasis formation can be predicted based solely on a set of qualitative biological statements about the involvement of proteins in metastatic processes. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TKDE.2008.89 | IEEE Trans. Knowl. Data Eng. |
Keywords | Field | DocType |
probabilistic inference,belief networks,recurrent relationship structure,qualitative biological statement,inference mechanisms,protein,model averaging,quantitative inference,monte carlo,quantitative bayesian inference,proteins,dynamic bayesian network,monte carlo integration technique,knowledge engineering methodologies,probabilistic quantity,model parameter,qualitative semantic knowledge mining,molecular biophysics,molecular medical application,qualitative constraint,uncertainty,cancer,probabilistic algorithms,bayesian network,monte carlo methods,"fuzzy",data mining,breast cancer metastasis formation,bayesian model averaging,medical computing,qualitative statement,applications and expert knowledge-intensive systems,and probabilistic reasoning,biology and genetics,probability and statistics,knowledge modeling,genetics,monte carlo integration,system biology,probabilistic algorithm,breast cancer,knowledge engineering,fuzzy,probabilistic reasoning,bayesian inference | Data mining,Frequentist inference,Bayesian inference,Inference,Computer science,Bayesian average,Bayesian network,Artificial intelligence,Bayesian statistics,Probabilistic logic,Machine learning,Dynamic Bayesian network | Journal |
Volume | Issue | ISSN |
20 | 12 | 1041-4347 |
Citations | PageRank | References |
11 | 0.67 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Chang | 1 | 389 | 39.86 |
| Martin Stetter | 2 | 345 | 19.69 |
| Wilfried Brauer | 3 | 969 | 299.36 |