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Friday, August 14, 2009
Latent Space Domain Transfer between High Dimensional Overlapping Distributions
This paper combines different techniques for learning across different knowledge domains. SVM Regression is used to fill up missing values, and SVD is used to reduce dimensions. A theoretical bound for the two combined techniques is provided.