reviews/Umineko (Link Bibliography)

“reviews/​Umineko” links:

  1. https://www.lesswrong.com/user/Tuxedage/overview/

  2. https://www.youtube.com/watch?v=kRkT3KCfiow&t=10s

  3. NGE

  4. Books#radiance-scholz-2003

  5. https://nyaa.si/view/395795

  6. https://nyaa.si/view/353745

  7. http://vndb.org/v/all?q=;fil=tagspoil-1;o=d;s=rating

  8. #time-investment

  9. https://web.archive.org/web/20150211233502/https://archive.moe/a/thread/72391938/

  10. http://forums.animesuki.com/showpost.php?p=3996631&postcount=387

  11. https://www.lesswrong.com/posts/gW9GHdp2czQGsDvDn/open-thread-august-19-25-2013?commentId=PmYQaibsaMDSWzysE

  12. https://www.lesswrong.com/posts/SkXLrDXyHeekqgbFg/shock-level-5-big-worlds-and-modal-realism?commentId=8gDR2AjoXM3kXnJzE

  13. https://www.lesswrong.com/r/discussion/lw/jf3/tulpa_referencesdiscussion/

  14. https://www.amazon.com/When-God-Talks-Back-Understanding/dp/0307277275

  15. https://www.lesswrong.com/posts/2PejHXfkuHmidgSrp/august-2013-media-thread?commentId=SxqX5NCuQKyACxLAf

  16. https://www.lesswrong.com/posts/2PejHXfkuHmidgSrp/august-2013-media-thread?commentId=8KQWp9YKw2EDTcqty

  17. https://07th-expansion.fandom.com/wiki/Van_Dine%27s_Commandments

  18. https://seizonsha.wordpress.com/2011/06/13/%E6%9C%80%E7%B5%82%E8%80%83%E5%AF%9F%E3%80%80%E3%81%86%E3%81%BF%E3%81%AD%E3%81%93%E3%81%AE%E3%81%AA%E3%81%8F%E9%A0%83%E3%81%AB-answer-to-the-golden-witch-special-discussion/

  19. 1938-borges-richardhullexcellentintentions.pdf

  20. https://tvtropes.org/pmwiki/pmwiki.php/Main/CrapsackWorld

  21. Sunk-cost

  22. http://forums.animesuki.com/showpost.php?p=3538751&postcount=260

  23. http://wiki.lesswrong.com/wiki/Litany_of_Gendlin

  24. http://buddhism-for-vampires.com/

  25. http://buddhism-for-vampires.com/black-magic-transformation

  26. Anime#concurrency

  27. http://bakabt.me/159362-umineko-no-naku-koro-ni-music-collection-flac.html

  28. https://www.youtube.com/watch?v=Dy2tZ4Hshbs

  29. https://www.youtube.com/watch?v=kVP09lhSPm4

  30. https://www.youtube.com/watch?v=x_2Sso-JoO4

  31. https://www.youtube.com/watch?v=tICKoZ18zHk

  32. https://www.youtube.com/watch?v=ZqotPrZdzIs

  33. https://www.youtube.com/watch?v=vRaNer0BgwY

  34. https://www.youtube.com/watch?v=0J5LF2Udf20

  35. https://www.youtube.com/watch?v=02KaUff0HEo

  36. https://www.youtube.com/watch?v=QTAcJ0ZcUkI

  37. https://www.youtube.com/watch?v=xOq7ZNTPVug

  38. https://www.youtube.com/watch?v=qn3MJbbtuXo

  39. https://www.youtube.com/watch?v=V8Bda1WfDfk

  40. https://www.youtube.com/watch?v=QDorg6jbs_E

  41. https://www.youtube.com/watch?v=qunBNGMNt3k

  42. https://www.youtube.com/watch?v=2pQ7ANQlkZ0

  43. https://www.youtube.com/watch?v=Fj4grmCRRRw

  44. https://www.youtube.com/watch?v=aCKSTFWYk5E

  45. https://www.youtube.com/Ffot7p6E4fs?t=2m12s

  46. https://www.youtube.com/watch?v=_z3l0dkDfkI

  47. https://www.youtube.com/watch?v=ROEXKV7Z2QI

  48. https://www.youtube.com/watch?v=jS4oJi4U9IQ

  49. https://www.youtube.com/watch?v=OodVtH6KPVA

  50. https://www.youtube.com/watch?v=HOImRaoppdY

  51. https://07th-expansion.fandom.com/wiki/Our_Confession

  52. https://darenome.wordpress.com/2009/07/23/ryukishi07-interview/

  53. https://darenome.wordpress.com/2009/11/05/ryukishi07-interview-2/

  54. http://rokkenjima.livejournal.com/188310.html

  55. http://forums.animesuki.com/showthread.php?p=3016024&highlight=Ryukishi+interview#post3016024

  56. http://forums.animesuki.com/showthread.php?p=3017143&highlight=Ryukishi+interview#post3017143

  57. https://animehistory.wordpress.com/2012/06/11/epitanime-2012-ryukishi07s-conference-transcriptions/

  58. http://witchhunters.livejournal.com/

  59. http://blackliliana.tumblr.com/post/10440821343/the-wright-solution-to-the-twilights-ep1-4

  60. https://tvtropes.org/pmwiki/pmwiki.php/VisualNovel/UminekoWhenTheyCry

  61. https://tvtropes.org/pmwiki/pmwiki.php/WMG/UminekoWhenTheyCry

  62. https://tvtropes.org/pmwiki/pmwiki.php/WMG/UminekoWhenTheyCryJossed

  63. https://tvtropes.org/pmwiki/pmwiki.php/Main/TheTreacheryOfImages

  64. http://forums.animesuki.com/showthread.php?t=100276

  65. http://blog.eternicity.net/2010/09/19/in-defense-of-furudo-erika/

  66. http://keikakudoori.wordpress.com/category/umineko-no-naku-koro-ni/

  67. http://goatsreadingseacats.tumblr.com/

  68. http://arbtt.nomeata.de/#what

  69. http://prize.hutter1.net/

  70. ⁠, Daniel Burfoot (2011-04-28):

    This book presents a methodology and philosophy of empirical science based on large scale lossless data compression. In this view a theory is scientific if it can be used to build a data compression program, and it is valuable if it can compress a standard benchmark database to a small size, taking into account the length of the compressor itself. This methodology therefore includes an Occam principle as well as a solution to the problem of demarcation. Because of the fundamental difficulty of lossless compression, this type of research must be empirical in nature: compression can only be achieved by discovering and characterizing empirical regularities in the data. Because of this, the philosophy provides a way to reformulate fields such as computer vision and computational linguistics as empirical sciences: the former by attempting to compress databases of natural images, the latter by attempting to compress large text databases. The book argues that the rigor and objectivity of the compression principle should set the stage for systematic progress in these fields. The argument is especially strong in the context of computer vision, which is plagued by chronic problems of evaluation.

    The book also considers the field of machine learning. Here the traditional approach requires that the models proposed to solve learning problems be extremely simple, in order to avoid overfitting. However, the world may contain intrinsically complex phenomena, which would require complex models to understand. The compression philosophy can justify complex models because of the large quantity of data being modeled (if the target database is 100 Gb, it is easy to justify a 10 Mb model). The complex models and abstractions learned on the basis of the raw data (images, language, etc) can then be reused to solve any specific learning problem, such as face recognition or machine translation.

  71. http://www.joyofdata.de/blog/relation-of-word-order-and-compression-ratio/

  72. http://libgen.org/search.php?req=%22wheel+of+time%22