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sbse14
search-based software engineeringlawker
Automatically exported from code.google.com/p/lawkerlisp
Some of my lisp tricksResearch
axe
axeluamine
data mining and optimizationsublime
S.U.B.L.I.M.E. = Sublime's unsupervised bifurcation: let's infer minimal explanations.rag
ourmine
Automatically exported from code.google.com/p/ourminetested
The best way to test "it" is to watch someone else try to break "it".luatips
best tricks for luaish
(Some (useful (ish)) LISP)timm.github.io
my web sitel5
A lean little learning library, in LUA.py
Misc python packages (one per subdirectory)gold
Adds to Gawk objects, methods, polymorphism, encapsulation, inheritance, unit tests, auto-documentation, data mining tools.coffee-mine
Code from "learn.coffee: () => @CoffeScript.newbie.diary and task is "build data miners"lunatic
Exploring space, one data set at a time (using data mining and optimization)dart
optimizing = cluster + contrastNSF22-advice--2023
bnbad2
Optimizer, written as a data miner. Break the data up into regions of 'bad' and 'better'. 'Interesting' things occur at very different frequencies in 'bad' and 'better'. Find interesting bits. Combine them. Repeat. Nearly all this processing takes log linear time.ezr
Explanation system for semi-supervised multi-objective optimizationLove Open Source and this site? Check out how you can help us