Pedro Domingos Says Cross-Entropy Is Log-Likelihood Not Compression

Pedro Domingos, Professor Emeritus of Computer Science at the University of Washington and author of The Master Algorithm, posted a reply directed at @ChrSzegedy. The message states that cross-entropy is log-likelihood, not compression. The exchange concerns objective functions. The packet records this as a reply from the academic account and includes his professional background in the source line. No other posts, replies, or outcomes appear in the supplied lines. The statement stands as the content Domingos posted rather than an established technical fact beyond the author's assertion.