Information Theory, Inference, and Learning Algorithms phần 1 ppsx
... links. 6 1 — Introduction to Information Theory Received sequence r Likelihood ratio P (r |s = 1) P (r |s = 0) Decoded sequence ˆ s 000 γ −3 0 0 01 γ 1 0 010 γ 1 0 10 0 γ 1 0 10 1 γ 1 1 11 0 γ 1 1 011 ... define H = 1 1 1 0 1 0 0 0 1 1 1 0 1 0 0 0 1 1 1 0 1 1 0 0 1 1 1 0 . (1. 52) The fourth row is the sum (modulo two) of the top tw...
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... two codes is being used. 0 1 0 0 0 1 1 1 1 1 1 2 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 1 1 1 1 1 1 1 2 1 0 0 1 0 0 0 3 Figure 17 .9. State diagrams and connection matrices for channels with ... = 10 ), 1 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 ....
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... 5 10 15 20 p (1) (x) 0 5 10 15 20 p (2) (x) 0 5 10 15 20 p (3) (x) 0 5 10 15 20 p (10 ) (x) 0 5 10 15 20 p (10 0) (x) 0 5 10 15 20 p (200) (x) 0 5 10 15 20 p (400) (x) 0 5 10 15 20 Figure 29 .15 . ... Sampling 0 50 10 0 15 0 200 250 0 5 10 15 20 0 50 10 0 15 0 200 250 0 5 10 15 20 0 50 10 0 15 0 200 250 0 5 10 15 20 0 50 10 0 15 0 200 250 0 5 10 15 20 (i) (...
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Information Theory, Inference, and Learning Algorithms phần 10 ppsx
... 579 0000 00 01 0 010 0 011 010 0 010 1 011 0 011 1 10 00 10 01 1 010 10 11 110 0 11 01 111 0 11 11 1 1 1 0 1 0 1 0 0 0 0 1 1 1 1 0transmit source 1 1 1 1 0 0 1 1 0000 00 01 0 010 0 011 010 0 010 1 011 0 011 1 10 00 10 01 1 010 10 11 110 0 11 01 111 0 11 11 1 1 1 0 1 0 1 0 0 0 0 1 ... 0 0 1 1 1 0 1transmit source 1 1 1 1 0 0 1 0...
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Information Theory, Inference, and Learning Algorithms phần 2 ppt
... 11 10 01 q 0.0008 10 .3 9 11 010 00 01 r 0.0508 4.3 5 11 011 s 0.0567 4 .1 4 0 011 t 0.0706 3.8 4 11 11 u 0.0334 4.9 5 10 1 01 v 0.0069 7.2 8 11 010 0 01 w 0. 011 9 6.4 7 11 010 01 x 0.0073 7 .1 7 10 100 01 y 0. 016 4 ... 6 0 010 01 h 0.0 313 5.0 5 10 0 01 i 0.0599 4 .1 4 10 01 j 0.0006 10 .7 10 11 010 00000 k 0.0084 6.9 7 10 10000 l 0.0335 4.9 5 11 1 01 m 0.02...
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Information Theory, Inference, and Learning Algorithms phần 3 pdf
... 11 10 011 0000000000 5 10 1 010 64 10 110 10000000 13 11 110 10 719 11 10 011 011 0 011 110 6 10 110 0 12 7 10 110 111 111 10 14 11 111 00 10 23 11 10 011 111 111 111 0 7 10 111 0 12 8 10 111 100000000 15 11 111 10 10 24 11 1 010 100000000000 8 ... 10 10 011 111 0 9 11 10 010 256 11 100 010 00000000 2 10 0 32 10 1 011 000000 10 11 1 010 0 365 11 100 010 110 110 10...
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Information Theory, Inference, and Learning Algorithms phần 4 potx
... 18 5 (a) 1 0 1 1 0 0 1 1 0 1 1 0 0 1 1 0 1 1 0 0 1 (b) (c) 1 1 1 1 0 1 1 1 1 1 0 0 0 1 1 0 1 1 1 0 1 (d) 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 (e) 1 0 1 1 0 0 1 1 0 1 1 0 0 1 1 0 1 1 0 0 1 (d ) 1 1 1 1 1 1 1 0 1 1 0 0 0 1 1 0 1 1 0 0 1 (e ) 1 (1) 1 1 0 0 1 1 (1) 1 1 0 0 1 1 (1) 1 1...
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Information Theory, Inference, and Learning Algorithms phần 6 pptx
... 0.25 00 010 11 0.00 014 58 0.0 013 0 010 111 0.0 013 122 0. 012 0 011 100 0.0030 618 0.027 010 011 0 0.0002268 0.0020 010 110 1 0.0000972 0.0009 011 00 01 0.0708588 0.63 011 1 010 0.0020 412 0. 018 10 0 010 1 0.00 014 58 0.0 013 10 011 10 ... 0.00 014 58 0.0 013 10 011 10 0.0000042 0.0000 10 10 010 0.0030 618 0.027 10 110 01 0.0 013 122 0. 012 11 00 011 0.0000972 0.0009 11 010...
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Information Theory, Inference, and Learning Algorithms phần 8 docx
... available. 1 0 0.2 0.4 0.6 0.8 1 1.2 1e -10 1e-09 1e-08 1e-07 1e -10 1e-08 1e-06 0.00 01 0. 01 1 1e -10 1e-09 1e-08 1e-07 Figure 35.3. Likelihood of the mutation rate a on a linear scale and log scale, ... 35 — Random Inference Topics Now, 2 10 = 10 24 10 3 = 10 00, so without needing a calculator, we have 1 2 3 4 5 6 7 8 9 10 ✻ ❄ P (1) ✻ ❄ P (3) ✻ ❄ P (9) 10 log 2 3...
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Information Theory, Inference, and Learning Algorithms phần 9 pdf
... Classifier C y 0 1 t 0 90 0 1 10 0 y 0 1 t 0 80 10 1 0 10 y 0 1 t 0 78 12 1 0 10 But clearly classifier A, which simply guesses that the outcome is 0 for all cases, is conveying no information at all about ... Networks 0 0.2 0.4 0.6 0.8 1 0 0.02 0.04 0.06 0.08 0 .1 0 .12 0 .14 0 .16 0.95 0.96 0.97 0.98 0.99 1 0.09 0 .1 0 .11 0 .12 0 .13 0 .14 0 .15 Figure 42.8. Overl...
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