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ICPR
2010
IEEE
15 years 5 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
AI
2011
Springer
15 years 1 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
DBPL
1997
Springer
90views Database» more  DBPL 1997»
15 years 11 months ago
Implementing Incremental View Maintenance in Nested Data Models
Previous research on materialized views has primarily been in the context of flat relational databases--materialized views defined in terms of one or more flat relations. This pape...
Akira Kawaguchi, Daniel F. Lieuwen, Inderpal Singh...
BMCBI
2002
188views more  BMCBI 2002»
15 years 6 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
195
Voted
ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
16 years 12 days ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin