Efficient sampling-based kernel mean matching
Many real-world applications exhibit scenarios where distributions represented by training
and test data are not similar, but related by a covariate shift, ie, having equal class …
and test data are not similar, but related by a covariate shift, ie, having equal class …
Efficient Sampling-Based Kernel Mean Matching
S Chandra, A Haque, L Khan, C Aggarwal - pdfs.semanticscholar.org
Efficient Sampling-Based Kernel Mean Matching Page 1 Efficient SamplingBased Kernel Mean
Matching Swarup Chandra, Ahsanul Haque, Latifur Khan and Charu Aggarwal* University of …
Matching Swarup Chandra, Ahsanul Haque, Latifur Khan and Charu Aggarwal* University of …
Efficient sampling-based kernel mean matching
S Chandra, A Haque, L Khan… - … Conference on Data …, 2017 - research.ibm.com
Many real-world applications exhibit scenarios where distributions represented by training
and test data are not similar, but related by a covariate shift, ie, having equal class …
and test data are not similar, but related by a covariate shift, ie, having equal class …
Efficient Sampling-Based Kernel Mean Matching
S Chandra, A Haque, L Khan… - 2016 IEEE 16th …, 2016 - computer.org
Many real-world applications exhibit scenarios where distributions represented by training
and test data are not similar, but related by a covariate shift, ie, having equal class …
and test data are not similar, but related by a covariate shift, ie, having equal class …