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boot hang ahci ide mode 100%

[HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\services\msahci] "Start"=dword:00000000 [HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\services\pciide] "Start"=dword:00000000 [HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\services\iaStorV] "Start"=dword:00000000 probably only need to do the first one.

https://www.pdf-archive.com/2015/09/17/boot-hang-ahci-ide-mode/

17/09/2015 www.pdf-archive.com

Wykład 2 100%

Podstawy Informatyki dr Elz˙ bieta Gawro´nska gawronska@icis.pcz.pl Instytut Informatyki Teoretycznej i Stosowanej dr El˙zbieta Gawro´nska (ICIS) Podstawy Informatyki 02 1 / 21 1 Kodowanie liczb całkowitych Liczby całkowite bez znaku Liczby całkowite ze znakiem 2 Kodowanie liczb rzeczywistych Kodowanie stałoprzecinkowe Bł˛edy zaokragle´ ˛ n Zapis zmiennoprzecinkowy Kodowanie cechy w U2 dla liczb zmiennoprzecinkowych Kodowanie FP2 Standard IEEE 754 dr El˙zbieta Gawro´nska (ICIS) Podstawy Informatyki 02 2 / 21 Kodowanie liczb całkowitych Liczby całkowite bez znaku Kodowanie liczb całkowitych I na jednym bajcie moz˙ na zapisa´c liczby h0, 255i, czyli h(00000000)2 ;

https://www.pdf-archive.com/2016/11/04/wyk-ad-2/

04/11/2016 www.pdf-archive.com

man adasi belgeleri 85%

E€aoficiafi, cu9to!o6r-§a!a 6 Addİ ./TR30 002 03 000 0 0 3 MUSTAFA ERDOGAN (l.!AC:00000000 j i cHK:

https://www.pdf-archive.com/2017/12/01/man-adasi-belgeleri/

01/12/2017 www.pdf-archive.com

gyori lorant acc invoice 00719-16-MFE 71%

11600006-00000000-75345547 KÉRJÜK A KÖZLEMÉNY ROVATBAN FELTÜNTETNI:

https://www.pdf-archive.com/2018/12/28/gyorilorantaccinvoice00719-16-mfe/

28/12/2018 www.pdf-archive.com

Snake 61%

Decimal 0 1 2 3 4 5 6 7 8 9 10 11 12 Binary 00000000 00000001 00000010 00000011 00000100 00000101 00000110 00000111 00001000 00001001 00001010 00001011 00001100 Hexadecimal 0 1 2 3 4 5 6 7 8 9 A B C 13 14 15 16 17 18 19 20 00001101 00001110 00001111 00010000 00010001 00010010 00010011 00010100 D E F 10 11 12 13 14 Because it can also be confusing to say, “fourteen”, when we mean 20, many times we convert these hexadecimal numbers to decimal.

https://www.pdf-archive.com/2017/08/11/snake/

11/08/2017 www.pdf-archive.com

Crit 24.08.13 51%

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100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1r1rr0 0m00 0m55 5m79 5m57 0m95 0m05 0m40 0m17 5m54 5m54 0m75 0m79 0m47 5m75 0m40 0m94 0m75 0m55 5m00 0m47 5m50 0m95 5m95 0m00 0m15 5m71 4m10 0m07 5m71 5m70 5m77 4m17 5m47 5m90 0m59 0m51 1m57 0m45 0m40 0m55 0m07 0m00 5m77 4m71 5m54 0m05 0m90 0m75 5m51 5m47 5m04 0m50 0m55 5m01 70 74 49 70 47 75 95 57 49 71 77 77 95 95 49 47 75 75 71 54 70 79 77 55 90 49 75 04 41 54 55 45 70 45 77 71 51 75 05 75 70 77 59 75 75 75 75 74 50 70 71 40 75 75 mrrrrrrrrrrrrrrrmrrmmmrmmrm 157 107 109 154 157 155 151 109 155 151 157 154 109 154 155 154 155 100 105 157 150 155 150 105 159 155 157 150 157 104 159 155 159 157 155 159 155 155 104 150 155 105 105 151 155 145 150 107 101 155 150 159 157 105 10r 10r 10r 10r00)05)50 11r 11r 11r 11r 11r 11r00)05)19 15r 15r 15r 15r 15r 15r00)05)55 10r 10r 10r 10r 10r00)05)55 15r 15r 15r 15r 15r 15r00)05)55 15r 15r 15r 15r 15r 15r00)05)55 14r 14r 14r 14r 14r 14r00)05)00 17r 17r 17r 17r 17r 17r00)05)50 17r 17r 17r 17r 17r 17r00)05)55 19r 19r 19r 00)55)00 00)55)57 00)55)00 00)54)00 00)54)00 00)57)00 00)57)00 00)57)50 00)57)00 00)57)00 00)59)00 00)59)00 00)50)00 00)50)15 00)50)00 00)51)00 00)51)00 00)55)00 00)55)54 00)55)00 00)50)00 00)50)00 00)55)00 00)55)00 00)55)55 00)55)00 00)55)00 00)54)00 00)54)00 00)57)00 00)57)05 00)57)00 00)57)00 00)57)00 00)59)00 00)59)55 00)59)00 01)00)00 01)00)00 01)01)00 01)01)00 01)01)55 01)05)00 01)05)00 01)00)00 01)00)00 01)05)00 01)05)10 01)05)00 01)05)00 01)05)00 01)04)00 01)04)00 01)04)05 00m571 00m9 00m917 01m551 01m579 01m955 05m004 05m557 05m405 05m955 00m575 00m404 05m001 05m155 05m05 05m497 05m077 05m570 05m77 05m755 04m144 04m517 04m797 07m555 07m507 07m577 07m910 07m579 07m459 07m977 09m000 09m007 09m455 50m05 50m079 50m457 50m750 51m059 51m090 51m775 55m10 55m574 55m555 55m775 50m155 50m597 50m75 50m911 55m115 55m554 55m775 55m155 55m59 55m507 57m7 50 09 50m5 55m1 50m7 50m5 50m9 09 07m1 55m7 57m7 50m9 51m7 51m7 50m7 55m4 57 51m7 55m1 55m5 54m5 50m5 07m9 09m0 51 51m5 50m4 55m9 04m9 07m9 09m5 55m5 55m7 50m5 50m4 09m7 50m7 55m7 50m5 07m9 09m7 09m4 50 50m4 55m5 01m5 05m0 05m7 50m0 55m0 54 07m7 09m5 505 055 540 575 550 555 500 097 170 559 540 550 559 507 577 009 059 579 095 041 575 544 500 047 051 054 570 009 500 015 595 007 574 575 015 075 557 554 510 509 057 047 545 555 000 195 070 001 555 579 009 550 501 055 155 197 147 171 151 151 551 555 105 151 145 107 570 540 175 194 511 171 550 500 177 175 155 559 505 507 174 515 150 501 177 194 179 171 190 555 155 140 151 157 557 554 149 151 175 115 505 177 140 179 195 105 551 557 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1r1rr5 0m55 5m95 0m45 0m77 0m07 0m09 5m54 5m50 5m50 0m17 0m45 0m04 4m55 5m45 5m00 5m59 5m57 5m01 5m57 5m01 0m95 0m49 0m19 5m10 5m54 5m50 0m90 5m71 5m77 5m07 5m10 5m54 0m97 0m71 5m00 5m00 0m55 0m54 5m94 0m05 5m70 5m11 0m47 0m04 5m17 5m49 5m15 5m17 0m50 0m77 5m59 0m04 5m57 5m95 71 75 55 75 41 70 71 71 05 71 54 70 71 75 40 74 79 75 75 70 75 97 41 75 70 75 71 70 00 74 74 77 74 77 49 75 77 77 44 41 79 79 71 95 70 50 71 70 70 95 70 55 70 77 mrrrrrrrrrrrrrrrmrrmmmrmmrm 101 154 157 150 155 109 105 150 157 155 105 155 155 157 140 145 159 155 145 145 145 157 150 155 151 157 157 150 150 159 159 154 155 151 154 140 140 140 150 155 151 140 144 140 154 157 155 157 140 154 150 155 157 141 19r 19r00)05)55 50r 50r 50r 50r 50r 50r00)05)55 51r 51r 51r 51r 51r 51r00)05)50 55r 55r 55r 55r 55r00)05)10 50r 50r 50r 50r 50r 50r00)05)17 55r 55r 55r 55r 55r 55r00)05)50 55r 55r 55r 55r 55r00)05)50 54r 54r 54r 54r 54r 54r00)05)50 57r 57r 57r 57r 57r 57r00)05)54 57r 57r 57r 57r 57r 57r00)05)55 01)07)00 01)07)00 01)07)00 01)07)00 01)09)00 01)09)00 01)09)00 01)10)00 01)10)00 01)11)00 01)11)50 55m710 54m15 54m594 54m757 57m141 57m145 57m570 57m70 57m511 57m57 57m791 07m7 50m5 51m7 55m0 07m7 07m7 50m5 55m1 57m5 07m5 51m7 591 557 015 555 050 050 574 545 019 045 590 174 140 199 141 554 551 171 149 199 505 017 100 100 100 100 100 100 100 100 100 100 100 1r1rr5 5m05 0m57 5m07 0m50 5m74 5m75 0m97 0m47 5m50 5m00 4m71 75 97 91 09 75 74 95 91 71 75 90 mrrrrrrrrrrrrrrrmrrmmmrmmrm 145 157 157 150 157 157 144 145 141 145 144 59r 59r 59r 59r 59r 59r00)05)54 00r 00r 00r 00r 00r00)05)19

https://www.pdf-archive.com/2013/08/24/crit-24-08-13/

24/08/2013 www.pdf-archive.com

CanIndifferenceVindicateInduction 47%

Fool Me Once: Can Indifference Vindicate Induction? Roger White (2015) sketches an ingenious new solution to the problem of induction. It argues on a priori grounds that the world is more likely to be inductionfriendly than inductionunfriendly. The argument relies primarily on the principle of indifference, and, somewhat surprisingly, assumes little else. If inductive methods could be vindicated in anything like this way, it would be quite a groundbreaking result. But there are grounds for pessimism about the envisaged approach. This paper shows that in the crucial test cases White concentrates on, the principle of indifference actually renders induction no more accurate than random guessing. It then diagnoses why the indifferencebased argument seems so intuitively compelling, despite being ultimately unsound. 1 An IndifferenceBased Strategy White begins by imagining that we are “apprentice demons” tasked with devising an inductionunfriendly world – a world where inductive methods tend to be unreliable. To simplify, we imagine that there is a single binary variable that we control (such as whether the sun rises over a series of consecutive days). So, in essence, the task is to construct a binary sequence such that – if the sequence were revealed one bit at a time – an inductive reasoner would fare poorly at predicting its future bits. This task, it turns out, is surprisingly difficult. To see this, it will be instructive to consider several possible strategies for constructing a sequence that would frustrate an ideal inductive predictor. Immediately, it is clear that we should avoid uniformly patterned sequences, such as: 00000000000000000000000000000000 or 01010101010101010101010101010101. 1 Sequences like these are quite kind to induction. Our inductive reasoner would quickly latch onto the obvious patterns these sequences exhibit. A more promising approach, it might seem, is to build an apparently patternless sequence: 00101010011111000011100010010100 But, importantly, while induction will not be particularly reliable at predicting the terms of this sequence, it will not be particularly unreliable here either. Induction would simply be silent about what a sequence like this contains. As White puts it, “ In order for... induction to be applied, our data must contain a salient regularity of a reasonable length” (p. 285). When no pattern whatsoever can be discerned, presumably, induction is silent. (We will assume that the inductive predictor is permitted to suspend judgment whenever she wishes.) The original aim was not to produce an inductionneutral sequence, but to produce a sequence that elicits errors from induction. So an entirely patternless sequence will not suffice. Instead, the inductionunfriendly sequence will have to be more devious, building up seeming patterns and then violating them. As a first pass, we can try this: 00000000000000000000000000000001 Of course, this precise sequence is relatively friendly to induction. While our inductive predictor will undoubtedly botch her prediction of the final bit, it is clear that she will be able to amass a long string of successes prior to that point. So, on balance, the above sequence is quite kind to induction – though not maximally so. In order to render induction unreliable, we will need to elicit more errors than correct predictions. We might try to achieve this as follows: 00001111000011110000111100001111 2 The idea here is to offer up just enough of a pattern to warrant an inductive prediction, before pulling the rug out – and then to repeat the same trick again and again. Of course, this precise sequence would not necessarily be the way to render induction unreliable: For, even if we did manage to elicit an error or two from our inductive predictor early on, it seems clear that she would eventually catch on to the exceptionless higherorder pattern governing the behavior of the sequence. The upshot of these observations is not that constructing an inductionunfriendly sequence is impossible. As White points out, constructing such a sequence should be possible, given any complete description of how exactly induction works (p. 287). Nonetheless, even if there are a few special sequences that can frustrate induction, it seems clear that such sequences are fairly few and far between. In contrast, it is obviously very easy to corroborate induction (i.e. to construct a sequence rendering it thoroughly reliable). So induction is relatively unfrustrateable. And it is worth noting that this property is fairly specific to induction. For example, consider an inferential method based on the gambler’s fallacy, which advises one to predict whichever outcome has occurred less often, overall. It would be quite easy to frustrate this method thoroughly (e.g. 00000000…). So far, we have identified a highly suggestive feature of induction. To put things roughly, it can seem that: * Over a large number of sequences, induction is thoroughly reliable. * Over a large number of sequences, induction is silent (and hence, neither reliable nor unreliable). * Over a very small number of sequences (i.e. those specifically designed to thwart induction), induction is unreliable (though, even in these cases, induction is still silent much of the time). 3 Viewed from this angle, it can seem reasonable to conclude that there are a priori grounds for confidence that an arbitrary sequence is not inductionunfriendly. After all, there seem to be far more inductionfriendly sequences than inductionunfriendly ones. If we assign equal probability to every possible sequence, then the probability that an arbitrary sequence will be inductionfriendly is going to be significantly higher than the probability that it will be inductionunfriendly. So a simple appeal to the principle of indifference seems to generate the happy verdict that induction can be expected to be more reliable than not, at least in the case of binary sequences. Moreover, as White points out, the general strategy is not limited to binary sequences. If we can show a priori that induction over a binary sequence is unlikely to be inductionunfriendly, then it’s plausible that a similar kind of argument can be used to show that we are justified in assuming that an arbitrary world is not inductionunfriendly. If true, this would serve to fully vindicate induction. 2 Given Indifference, Induction Is not Reliable However, there are grounds for pessimism about whether the strategy is successful even in the simple case of binary sequences. Suppose that, as a special promotion, a casino decided to offer Fair Roulette. The game involves betting $1 on a particular color – black or red – and then spinning a wheel, which is entirely half red and half black. If wrong, you lose your dollar; if right, you get your dollar back and gain another. If it were really true that induction can be expected to be more reliable than not over binary sequences, it would seem to follow that induction can serve as a winning strategy, over the long term, in Fair Roulette. After all, multiple spins of the wheel produce a binary sequence of reds and blacks. And all possible sequences are 4 equally probable. Of course, induction cannot be used to win at Fair Roulette – past occurrences of red, for example, are not evidence that the next spin is more likely to be red. This suggests that something is amiss. Indeed, it turns out that no inferential method – whether inductive or otherwise – can possibly be expected to be reliable at predicting unseen bits of a binary sequence, if the principle of indifference is assumed. This can be shown as follows. Let S be an unknown binary sequence of length n. S is to be revealed one bit at a time, starting with the first. S: ? ? ? ? ? ? … ? :S n bits Let f be an arbitrary predictive function that takes as input any initial subsequence of S and outputs a prediction for the next bit: ‘0’, ‘1’, or ‘suspend judgment’. A predictive function’s accuracy is measured as follows: +1 for each correct prediction; 1 for each incorrect prediction; 0 each time ‘suspend judgment’ occurs. (So the maximum accuracy of a function is n; the minimum score is –n.) Given a probability distribution over all possible sequences, the expected accuracy of a predictive function is the average of its possible scores weighted by their respective probabilities. Claim: If we assume indifference (i.e. if we assign equal probability to every possible sequence), then – no matter what S is – each of f’s predictions will be expected to contribute 0 to f’s accuracy. And, as a consequence of this, f has 0 expected accuracy more generally. Proof: For some initial subsequences, f will output ‘suspend judgment’. The contribution of such predictions will inevitably be 0. So we need consider only those cases where f makes a firm prediction (i.e. ‘0’ or ‘1’; not ‘suspend judgment’). Let K be a klength initial subsequence for which f makes a firm prediction about the bit in 5

https://www.pdf-archive.com/2017/02/19/canindifferencevindicateinduction/

19/02/2017 www.pdf-archive.com

Mercy Hospital Northwest 47%

0170264365 Check Payme n,t A m,o u n t woo L owe aftoma"aft a woo Oolomammaaamw mono waaft none 00000000 mama as"**== aftaft momw 0000 map"

https://www.pdf-archive.com/2015/10/20/mercy-hospital-northwest/

20/10/2015 www.pdf-archive.com

FoolMeOnce 46%

00000000…).

https://www.pdf-archive.com/2017/02/19/foolmeonce/

19/02/2017 www.pdf-archive.com

eepromhighlightmarlin 26%

// Define this to set a unique identifier for this printer, (Used by some programs to differentiate between machines) // You can use an online service to generate a random UUID. (eg http://www.uuidgenerator.net/version4) // #define MACHINE_UUID "00000000‐0000‐0000‐0000‐000000000000"

https://www.pdf-archive.com/2014/05/01/eepromhighlightmarlin/

01/05/2014 www.pdf-archive.com