Older blog entries for sness (starting at number 4739)

Google says one hour of video is now being uploaded to YouTube every second - Washington Post

Google says one hour of video is now being uploaded to YouTube every second - Washington Post: "The search giant’s figures show that one hour of video is now being uploaded to YouTube every second. That upload rate — equivalent to 60 hours of video per minute — represents an astonishing tenfold increase from its 2007 rate."

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Syndicated 2012-12-12 19:05:00 from sness

Machine Learning, etc: Log loss or hinge loss?

Machine Learning, etc: Log loss or hinge loss?: "Hinge loss is less sensitive to exact probabilities. In particular, minimizer of hinge loss over probability densities will be a function that returns returns 1 over the region where true p(y=1|x) is greater than 0.5, and 0 otherwise. If we are fitting functions of the form above, then once hinge-loss minimizer attains the minimum, adding extra degrees of freedom will never increase approximation error.
"

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Syndicated 2012-12-12 15:27:00 from sness

Pattern Recognition and Machine Learning (Information Science and Statistics): Christopher M. Bishop: 9780387310732: Amazon.com: Books

Pattern Recognition and Machine Learning (Information Science and Statistics): Christopher M. Bishop: 9780387310732: Amazon.com: Books: "This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible."

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Syndicated 2012-12-12 15:19:00 from sness

Christopher M. Bishop

Christopher M. Bishop: "This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. "

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Syndicated 2012-12-12 15:19:00 from sness


The main
outcome of our analysis is that, for classification, the hinge loss appears
to be the loss of choice. Other things being equal, the hinge loss leads to
a convergence rate practically indistinguishable from the logistic loss rate
and much better than the square loss rate. Furthermore, if the hypothesis
space is sufficiently rich, the bounds obtained for the hinge loss are not
loosened by the thresholding stage.


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Syndicated 2012-12-12 15:16:00 from sness

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