The criterion assigns a test sample to the class that uses the min- imum number of additional bits to code the test sample, subject to an allowable distortion.
Our idea is to measure how efficiently a new observation can be encoded by each class of the training data subject to an allowable distortion, and to assign the ...
The criterion assigns a test sample to the class that uses the min- imum number of additional bits to code the test sample, subject to an allowable distortion.
[PDF] Classification via Minimum Incremental Coding Length
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A simple new criterion for classification, based on principles from lossy data compression, and its kernel and local versions perform competitively on ...
The criterion assigns a test sample to the class that uses the minimum number of additional bits to code the test sample, subject to an allowable distortion. We ...
Sep 25, 2007 · Within the lossy data coding framework, we establish in this paper that the MICL criterion leads to a family of classifiers that generalize the ...
The criterion assigns a test sample to the class that uses the minimum number of additional bits to code the test sample, subject to an allowable distortion. We ...
Jan 1, 2009 · The criterion assigns a test sample to the class that uses the minimum number of additional bits to code the test sample, subject to an ...
This simple classification criterion and its kernel and local versions perform competitively against existing classifiers on both synthetic examples and ...
The criterion assigns a test sample to the class that uses the minimum number of additional bits to code the test sample, subject to an allowable distortion. We ...