A. Schriebman, R. El-Yaniv, S. Fine and N. Tishby. On the two-sample problem and the Jensen-Shannon divergence for Markov sources. In preparation. Home/Search Document Not in Database Summary Related Articles |
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Unsupervised Document Classification Using Sequential.. - Slonim, Friedman, Tishby (2002) (12 citations) Self-citation (Tishby) (Correct)
....if both its arguments are identical. It is upper bounded and symmetric, though it is not a metric. One interpretation of the JS divergence relates it to the (logarithmic) measure of the likelihood that the two sample distributions originate by the most likely common source, denoted here by p [13]. Using this interpretation we can interpret the new algorithm as follows. At each step we draw some x and merge it back into its most probable source. We refer to this algorithm as the sIB algorithm. 5. OTHER CLUSTERING METHODS We can use the same sequential framework with other similarity ....
A. Schriebman, R. El-Yaniv, S. Fine and N. Tishby. On the two-sample problem and the Jensen-Shannon divergence for Markov sources. In preparation.
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