We present a new PAC-Bayes generalization bound for structured prediction that is applicable to perturbation-based probabilistic models. Our analysis explores the relationship between perturbation-based modeling and the PAC-Bayes framework, and connects to recently introduced generalization bounds for structured prediction. We obtain the first PAC-Bayes bounds that guarantee better generalization as the size of each structured example grows. 1
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NEW YORK DAILY NEWS
Big Ben just got F-bombed.
The iconic London clock endured the wrath of a TV reporter after its bells rang out during his segment.
Jon Craig was talking on Sky News when he was interrupted by the formally named Elizabeth Tower's &ding dong& sound.
&Oh, f--king hell,& the chief political correspondent complained as he angrily looked behind.
Cutting back to the studio, the anchor then apologized for the curse-word slip.
Reporter Jon Craig's segment about Prime Minister David Cameron starts normally enough …
When Big Ben interrupts, Craig lets loose an F-bomb: ‘Oh, f--king hell.’
Back in the Sky News studio, it becomes clear that the blooper reel was played instead of the full report.
Craig was reporting on David Cameron's trip to meet European Union leaders in Brussels, Belgium, when he made the blooper.
It later emerged that producers had aired the wrong pre-recorded clip. A full report — with no swear words — was broadcast later on.
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