Instance-Based Learning Algorithms
David W. Aha, Dennis Kibler, Marc K. Albert
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Citation edge evidence
- Wrappers for feature subset selection→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Pattern Recognition and Neural Networks→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approach…→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Machine Learning: Algorithms, Real-World Applications and Research Directions→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- A study of the behavior of several methods for balancing machine learning training data→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- An Information-Theoretic Definition of Similarity→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- A Practical Approach to Feature Selection→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Multi-Label Classification→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- The feature selection problem: traditional methods and a new algorithm→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Learning in the Presence of Concept Drift and Hidden Contexts→Instance-Based Learning AlgorithmsLegacy edge — source detail unavailable
- Instance-Based Learning Algorithms→Classification and Regression Trees.Legacy edge — source detail unavailable
- Instance-Based Learning Algorithms→Induction of Decision TreesLegacy edge — source detail unavailable
- Instance-Based Learning Algorithms→Induction of decision treesLegacy edge — source detail unavailable
- Instance-Based Learning Algorithms→Attention, similarity, and the identification-categorization relationship.Legacy edge — source detail unavailable
- Instance-Based Learning Algorithms→"Schema abstraction" in a multiple-trace memory model.Legacy edge — source detail unavailable
- A Practical Approach to Feature Selection→The feature selection problem: traditional methods and a new algorithmLegacy edge — source detail unavailable
- The feature selection problem: traditional methods and a new algorithm→A Practical Approach to Feature SelectionLegacy edge — source detail unavailable
- The feature selection problem: traditional methods and a new algorithm→Classification and Regression Trees.Legacy edge — source detail unavailable
- Wrappers for feature subset selection→A Practical Approach to Feature SelectionLegacy edge — source detail unavailable
- Wrappers for feature subset selection→The feature selection problem: traditional methods and a new algorithmLegacy edge — source detail unavailable
- Wrappers for feature subset selection→Induction of Decision TreesLegacy edge — source detail unavailable
- Wrappers for feature subset selection→Classification and Regression Trees.Legacy edge — source detail unavailable
- Wrappers for feature subset selection→Induction of decision treesLegacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→Induction of Decision TreesLegacy edge — source detail unavailable
- Classification in the Presence of Label Noise: A Survey→Induction of decision treesLegacy edge — source detail unavailable
- Machine Learning: Algorithms, Real-World Applications and Research Directions→Induction of Decision TreesLegacy edge — source detail unavailable
- Machine Learning: Algorithms, Real-World Applications and Research Directions→Classification and Regression Trees.Legacy edge — source detail unavailable
- Machine Learning: Algorithms, Real-World Applications and Research Directions→Induction of decision treesLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Classification and Regression Trees. | 1986 | 21,044 |
| Induction of Decision Trees | 1986 | 15,020 |
| Induction of decision trees | 1986 | 12,427 |
| Attention, similarity, and the identification-categorization relationship. | 1986 | 2,227 |
| "Schema abstraction" in a multiple-trace memory model. | 1986 | 1,887 |
What cites it, inside the corpus
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Topics
| Machine Learning and Data Classification | Computer Science |
| Data Stream Mining Techniques | Computer Science |
| Imbalanced Data Classification Techniques | Computer Science |
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