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DTIC ADA558454: The Relationship Between Diversity and Accuracy in ... |
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by Defense Technical Information Center |
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A wealth of approaches exists to perform classification |
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of items of interest. The goal of fusion techniques is to |
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exploit complementary approaches and merge the |
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information provided by these methods to provide a |
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solution superior than any single method. Associated with |
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choosing a fusion algorithm is the choice of algorithm or |
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algorithms that will be fused. This decision is most |
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often referred to as ensemble selection. Historically |
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classiffier ensemble accuracy has been used to accomplish |
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this task. More recently research has focused on creating |
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and evaluating diversity metrics to more effectively |
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select ensemble members. This research focuses on the use |
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of diversity as an ensemble selection methodology and |
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explores the relationship between ensemble accuracy and |
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diversity. Using a wide range of classification data |
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sets, classification methodologies, and fusion techniques |
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it extends current diversity research by expanding |
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classifier domains before employing fusion methodologies; |
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this is made possible with a unique classification score |
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algorithm developed for this purpose. Correlation and |
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linear regression techniques determine the relationship |
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between examined diversity metrics and accuracy is |
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tenuous and optimal ensemble selection should be based on |
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ensemble accuracy. |
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Date Published: 2018-09-01 08:34:02 |
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Identifier: DTIC_ADA558454 |
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Item Size: 61137279 |
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Language: english |
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Media Type: texts |
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DTIC Archive; ; AIR FORCE INST OF TEC... |
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