Regression from Distributed Data Sources Using Discrete Neighborhood Representations and Modified Stalked Generalization Models

Author:

Allende-Cid Héctor,Moraga Claudio,Allende Héctor,Monge Raúl

Publisher

Springer International Publishing

Reference29 articles.

1. Allende-Cid, H., Moraga, C., Allende, H., Monge, R.: Context-Aware Regression from Distributed Sources. In: IDC 2013, Prague, Czech Republic, pp. 17–22 (2013)

2. Allende-Cid, H., Moraga, C., Allende, H., Monge, R.: Wind Speed Forecast under a Distributed Learning Approach. In: V Chilean Workshop of Pattern Recognition, Temuco, Chile (2013)

3. Allende-Cid, H., Allende, H., Monge, R.: Soft Computing applied to Distributed Regression with Context-Heterogeneity. Submitted to the Journal of Multivalued Logic and Soft Computing (January 2014)

4. Balcan, M.-F., Ehrlich, S., Liang, Y.: Distributed k-means and k-median clustering on general communication topologies. Paper presented at the meeting of the NIPS (2013)

5. Bello-Orgaz, G., Menéndez, H., Camacho, D.: Adaptive K-Means Algorithm for overlapped graph clustering. International Journal of Neural Systems 22(5), 1–19 (2012)

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