Combining Uni-Modal Classifiers to Improve Learning

Author:

De Sa Virginia R.

Publisher

Springer Netherlands

Reference24 articles.

1. Becker, S. (1996). Mutual information maximization: Models of cortical self-organization. Network: Computation in Neural Systems 7 7–31.

2. Becker, S., & G.E. Hinton (1992). A self-organizing neural network that discovers surfaces in random-dot stereograms. Nature 355 161–163.

3. Buser, P., & P. Borenstein (1959). Responses somesthesiques, visuel et auditives, recueilles, au niveau du cortex “associatif” infrasylvien chez le chat curarise non anesthesie. Revue d’Electroencéphalographie et de Neurophysiologie Clinique 11 285–304.

4. de Sa, V.R. (1994a). Learning classification with unlabeled data. In J. Cowan, G. Tesauro, & J. Alspector (eds.), Advances in neural information processing systems6 (pp. 112–119). San Francisco, CA: Morgan Kaufman.

5. de Sa, V.R. (1994b). Minimizing disagreement for self-supervised classification. In M. Mozer, P. Smolensky, D. Touretzky, J. Elman, & A. Weigend (eds.), Proceedings of the 1993 Connectionist Models Summer School (pp. 300–307). Hillsdale, NJ: Lawrence Erlbaum Assoc.

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