By David L. Dowe (auth.), David L. Dowe (eds.)
Algorithmic likelihood and pals: lawsuits of the Ray Solomonoff eighty fifth memorial convention is a set of unique paintings and surveys. The Solomonoff eighty fifth memorial convention used to be held at Monash University's Clayton campus in Melbourne, Australia as a tribute to pioneer, Ray Solomonoff (1926-2009), honouring his a number of pioneering works - so much fairly, his innovative perception within the early Nineteen Sixties that the universality of common Turing Machines (UTMs) might be used for common Bayesian prediction and synthetic intelligence (machine learning). This paintings keeps to more and more impression and under-pin information, econometrics, computing device studying, info mining, inductive inference, seek algorithms, facts compression, theories of (general) intelligence and philosophy of technology - and purposes of those components. Ray not just expected this because the route to real synthetic intelligence, but additionally, nonetheless within the Sixties, expected levels of development in computer intelligence which might finally bring about machines surpassing human intelligence. Ray warned of the necessity to count on and speak about the capability outcomes - and risks - faster instead of later. probably foremostly, Ray Solomonoff was once a very good, satisfied, frugal and adventurous man or woman of mild unravel who controlled to fund himself whereas electing to behavior loads of his paradigm-changing learn open air of the collage method. the amount includes 35 papers concerning the abovementioned issues in tribute to Ray Solomonoff and his legacy.
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Additional info for Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence: Papers from the Ray Solomonoff 85th Memorial Conference, Melbourne, VIC, Australia, November 30 – December 2, 2011
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Dowe abovementioned log-loss scoring system since 1995 [32, sec. 5, p541, col. 2] for Australian AFL football (with a Gaussian competition based on the margin starting in 1996 [34, sec. 5]). Second, one can introduce a Bayesian prior for the log-loss scoring system, as originally tried somewhat unsuccessfully (with ratios of logarithms) in . The correction (stated verbally in 2002) from [171, sec. 2][32, footnote 176][34, sec. 4] takes logarithms of ratios of probabilities (equivalent to diﬀerences in logarithms of probabilities when at least one of these is ﬁnite).
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