The feature selection problem: traditional methods and a new algorithm
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node size = global citations · hover for the full title
Citation edge evidence
- Wrappers for feature subset selection→The feature selection problem: traditional methods and a new algorithmLegacy edge — source detail unavailable
- A Practical Approach to Feature Selection→The feature selection problem: traditional methods and a new algorithmLegacy edge — source detail unavailable
- Irrelevant Features and the Subset Selection Problem→The feature selection problem: traditional methods and a new algorithmLegacy edge — source detail unavailable
- Machine learning for medical diagnosis: history, state of the art and perspective→The feature selection problem: traditional methods and a new algorithmLegacy edge — source detail unavailable
- The feature selection problem: traditional methods and a new algorithm→Classification and Regression Trees.Legacy edge — source detail unavailable
- The feature selection problem: traditional methods and a new algorithm→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- The feature selection problem: traditional methods and a new algorithm→A Practical Approach to Feature SelectionLegacy edge — source detail unavailable
- A Practical Approach to Feature Selection→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Irrelevant Features and the Subset Selection Problem→A Practical Approach to Feature SelectionLegacy edge — source detail unavailable
- Wrappers for feature subset selection→A Practical Approach to Feature SelectionLegacy edge — source detail unavailable
- Wrappers for feature subset selection→Irrelevant Features and the Subset Selection ProblemLegacy edge — source detail unavailable
- Wrappers for feature subset selection→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Wrappers for feature subset selection→Classification and Regression Trees.Legacy edge — source detail unavailable
- Machine learning for medical diagnosis: history, state of the art and perspective→A Practical Approach to Feature SelectionLegacy edge — source detail unavailable
- Machine learning for medical diagnosis: history, state of the art and perspective→Classification and Regression Trees.Legacy edge — source detail unavailable
- Instance-Based Learning Algorithms→Classification and Regression Trees.Legacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Classification and Regression Trees. | 1986 | 21,044 |
| Instance-Based Learning Algorithms | 1991 | 4,128 |
| A Practical Approach to Feature Selection | 1992 | 2,996 |
What cites it, inside the corpus
Links
Topics
| Machine Learning and Data Classification | Computer Science |
| Data Mining Algorithms and Applications | Computer Science |
| Evolutionary Algorithms and Applications | Computer Science |
Is this record sound?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports2 author record(s) attached.
- supports17 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 930f5bc64fea8a60…