Combining instance-based learning and logistic regression for multilabel classification

Author:

Cheng Weiwei,Hüllermeier Eyke

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference24 articles.

1. Aha, D., Kibler, D., & Alber, M. (1991). Instance-based learning algorithms. Machine Learning, 6(1), 37–66.

2. Boutell, M. R., Luo, J., Shen, X., & Brown, C. M. (2004). Learning multilabel scene classification. Pattern Recognition, 37(9), 1757–1771.

3. Clare, A., & King, R. D. (2001). Knowledge discovery in multilabel phenotype data. In L. D. Raedt & A. Siebes (Eds.), Lecture notes in computer science (Vol. 2168, pp. 42–53). Berlin: Springer.

4. Comite, F. D., Gilleron, R., & Tommasi, M. (2003). Learning multilabel alternating decision tree from texts and data. In P. Perner & A. Rosenfeld (Eds.), Lecture notes in computer science (Vol. 2734, pp. 35–49). Berlin: Springer.

5. Dasarathy, B. V., editor (1991). Nearest neighbor (NN) norms: NN pattern classification techniques. Los Alamitos: IEEE Comput. Soc.

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