Attribute-Distributed Learning: Models, Limits, and Algorithms.

Haipeng Zheng Sanjeev R. Kulkarni H. Vincent Poor

Published in: IEEE Trans. Signal Process. (2011)

Keyphrases

distributed learning
machine learning
statistical models
machine learning algorithms
learning models
learned models
learning algorithm
computational complexity
probabilistic model
computationally efficient
computational cost
theoretical analysis
parameter estimation
attribute values
incomplete data