Name
Title | ||
|---|---|---|
Selective gaussian naïve bayes model for diffuse large-b-cell lymphoma classification: some improvements in preprocessing and variable elimination |
Abstract | ||
|---|---|---|
In this work, we present some significant improvements for for feature selection in wrapper methods. They are two: the first of them consists in a proper preordering of the feature set; and the second one consists in the application of an irrelevant feature elimination method, where the irrelevance condition is subjected to the partial selected feature subset by the wrapper method. We validate these approaches with the Diffuse Large B-Cell Lymphoma subtype classification problem and we show that these two changes are an important improvement in the computation cost and the classification accuracy of these wrapper methods in this domain. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11518655_76 | ECSQARU |
Keywords | Field | DocType |
selective gaussian,feature selection,diffuse large-b-cell lymphoma classification,classification accuracy,computation cost,wrapper method,bayes model,feature set,variable elimination,irrelevant feature elimination method,classification problem,large b-cell lymphoma subtype,partial selected feature subset,important improvement | Variable elimination,Naive Bayes classifier,Feature selection,Pattern recognition,Computer science,Gaussian,Preprocessor,Information extraction,Bayesian network,Artificial intelligence,Gaussian process,Machine learning | Conference |
Volume | ISSN | ISBN |
3571 | 0302-9743 | 3-540-27326-3 |
Citations | PageRank | References |
1 | 0.35 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrés Cano | 1 | 193 | 20.06 |
| Javier G. Castellano | 2 | 104 | 10.60 |
| Andrés R. Masegosa | 3 | 256 | 26.13 |
| Serafín Moral | 4 | 1218 | 145.79 |