Distribution Difference Function
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A Distribution Difference Function is a Distance Function between two Probability Distributions.
- AKA: Probability Distribution Difference Function, Distribution Difference, Distribution Distance, Distribution Distance Function, Distribution Comparison.
References
2009
- (Chen et al., 2009) ⇒ Bo Chen, Wai Lam, Ivor Tsang, and Tak-Lam Wong. (2009). “Extracting Discrimininative Concepts for Domain Adaptation in Text Mining.” In: Proceedings of ACM SIGKDD Conference (KDD-2009). doi:10.1145/1557019.1557045
- To formalize this intuition, we propose a domain adaptation method that parameterizes this concept space by linear transformation under which we explicitly minimize the distribution difference between the source domain with sufficient labeled data and target domains with only unlabeled data.
- Recently, Gretton et al. [5] introduced the Maximum Mean Discrepancy (MMD) for comparing distributions based on the Reproducing Kernel Hilbert Space (RKHS) distance. … Therefore, the distance between two distributions of two samples is simply the distance between the two mean elements in the RKHS.