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vault backup: 2025-04-01 13:01:58

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Dane Sabo 2025-04-01 13:01:58 -04:00
parent e97bcb3b9b
commit d9510470cd
2 changed files with 27 additions and 6 deletions
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14
.sessions/Thesis_Notes.vim
View File

@ -3,7 +3,7 @@ let s:so_save = &g:so | let s:siso_save = &g:siso | setg so=0 siso=0 | setl so=-
let v:this_session=expand("<sfile>:p") let v:this_session=expand("<sfile>:p")
silent only silent only
silent tabonly silent tabonly
cd ~/Documents/Dane\'s\ Vault/9999\ Personal/Journal cd ~/Documents/Dane\'s\ Vault/5\ Thesis
if expand('%') == '' && !&modified && line('$') <= 1 && getline(1) == '' if expand('%') == '' && !&modified && line('$') <= 1 && getline(1) == ''
let s:wipebuf = bufnr('%') let s:wipebuf = bufnr('%')
endif endif
@ -13,11 +13,13 @@ if &shortmess =~ 'A'
else else
set shortmess=aoO set shortmess=aoO
endif endif
badd +16 ~/Documents/Dane\'s\ Vault/5\ Thesis/4\ Meetings/DGC_DAS_328.md badd +16 4\ Meetings/DGC_DAS_328.md
badd +32 5\ Resources/Literature_Reviews/A\ Review\ of\ Formal\ Methods\ applied\ to\ Machine\ Learning.md
argglobal argglobal
%argdel %argdel
edit ~/Documents/Dane\'s\ Vault/5\ Thesis/4\ Meetings/DGC_DAS_328.md edit 5\ Resources/Literature_Reviews/A\ Review\ of\ Formal\ Methods\ applied\ to\ Machine\ Learning.md
argglobal argglobal
balt 4\ Meetings/DGC_DAS_328.md
setlocal fdm=manual setlocal fdm=manual
setlocal fde=0 setlocal fde=0
setlocal fmr={{{,}}} setlocal fmr={{{,}}}
@ -28,12 +30,12 @@ setlocal fdn=20
setlocal fen setlocal fen
silent! normal! zE silent! normal! zE
let &fdl = &fdl let &fdl = &fdl
let s:l = 16 - ((15 * winheight(0) + 30) / 60) let s:l = 11 - ((10 * winheight(0) + 27) / 55)
if s:l < 1 | let s:l = 1 | endif if s:l < 1 | let s:l = 1 | endif
keepjumps exe s:l keepjumps exe s:l
normal! zt normal! zt
keepjumps 16 keepjumps 11
normal! 080| normal! 058|
tabnext 1 tabnext 1
if exists('s:wipebuf') && len(win_findbuf(s:wipebuf)) == 0 && getbufvar(s:wipebuf, '&buftype') isnot# 'terminal' if exists('s:wipebuf') && len(win_findbuf(s:wipebuf)) == 0 && getbufvar(s:wipebuf, '&buftype') isnot# 'terminal'
silent exe 'bwipe ' . s:wipebuf silent exe 'bwipe ' . s:wipebuf

19
5 Thesis/5 Resources/Literature_Reviews/A Review of Formal Methods applied to Machine Learning.md
View File

@ -11,4 +11,23 @@ This review seems to talk a good bit about that.
than other types of programming. Things such as computer vision and decision than other types of programming. Things such as computer vision and decision
making are very difficult to program manually relative to their ML counterpart. making are very difficult to program manually relative to their ML counterpart.
- Abstract interpretation can connect different formal methods that otherwise
would seem disjoint, according to these authors.
- They spend a lot of pages (~15) on *formal methods for neural networks*.
There are two kinds.
- **Complete Formal Methods** are sound and complete, and can provide
counterexamples where appropriate. That being said, they are not usually
sound on floating point arithmetic and often neglect rounding errors.
- **Incomplete Formal Methods** are generally able to scale to larger
neural networks, and are often sound, but generally suffer from false
positives.
- In comparison, they spend 2 pages on support vector machines and decision
trees :( What did they ever do to you man!
- They also mention that formal methods for data preparation and training are
very much works in progress.