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chl + random-forests   35

[1202.1523] information forests
ml  random-forests  paper  via:cshalizi  information-forests  from delicious
february 2012 by chl
the two most important algorithms in predictive modeling today: strata 2012 - o'reilly conferences, february 28 - march 01, 2012, santa clara, ca
random-forests  lasso  elastic-net  ml  from delicious
november 2011 by chl
tutorial on decision forests - microsoft research
decision-trees  random-forests  tutorial  await  iccv-2011  cv  ml  from delicious
november 2011 by chl
decision forests for classification, regression, density estimation, manifold learning and semi-supervised learning - microsoft research
await: download.
random-forests  ml  paper  later  await  from delicious
november 2011 by chl
fast-random-forest - an efficient implementation of the random forest classifier for java. - google project hosting
fast-random-forest - An efficient implementation of the Random Forest classifier for Java. -
random-forests  java  lib  from delicious
august 2011 by chl
(3) random forests: how do random forests work in layman's terms? - quora
"and so your friends now form a random forest."
random-forests  ml  from delicious
april 2011 by chl
rt-rank
Rt-Rank #ml
regression-trees  gradient-boosting  random-forests  ml  lib  via:jhammerb  later  from delicious
april 2011 by chl
implementation of ensembles of (boosted) decision trees? - metaoptimize q+a
boosted-decision-trees  random-forests  ml  scikits.learn  decision-trees  boosting  from delicious
april 2011 by chl
statistics surveys - vol. 3 (2009): navigating random forests and related advances in algorithmic modeling
random-forests  ml  paper  later  ensemble-methods  bagging  boosting  via:gappy  from delicious
january 2011 by chl
jeff's search engine caffè: apache mahout 0.2: mapreduce lda, random forests, and frequent itemset miner
hadoop  mahout  ml  lda  random-forests  knn  svd  dist 
november 2009 by chl
[0910.2145] node harvest: simple and interpretable regression and classification
ml  stat  regression  interpretability  paper  via:agray0  node-harvest  random-forests  trees 
october 2009 by chl
online random forests « amir saffari’s website
ml  multiclass-classifier  random-forests  online-learning 
october 2009 by chl
breiman example - apache lucene mahout - apache software foundation
random-forests  mahout  ml  via:jhammerb 
september 2009 by chl
[#mahout-140] in-memory mapreduce random forests - asf jira
mahout  random-forests 
august 2009 by chl
fest - fast ensembles of sparse trees
ml  decision-trees  random-forests  bagging  boosting  via:brendano 
june 2009 by chl
[#mahout-122] random forests reference implementation - asf jira
ml  mahout  random-forests  gsoc 
june 2009 by chl
random forests
random-forests  mahout 
april 2009 by chl
how google and facebook are using r : data evolution
r  dm  caret  rpart  lars  flexclust  random-forests 
february 2009 by chl
objrec roadmap - wiki
I sense bradskian forces.
cv  willow-garage  via:jdchen  opencv  random-forests  extremely-randomized-trees  gary-bradski 
january 2009 by chl
what's new in the 2nd edition of elements of statistical learning?
"[...] many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization and spectral clustering."
book  esl  esl-2  ensemble-methods  random-forests  lasso  spectral-clustering 
january 2009 by chl
youtube - generalizing random forests principles to other methods
just a preview.
watchlist  video-lecture  random-forests 
december 2008 by chl
generalizing random forests principles to other methods: random multinomial logit, random naïve bayes ...
let a thousand stochastic discriminators bloom!
random-forests  random-naïve-bayes  video  watchlist  video-lecture 
december 2008 by chl
random naive bayes - wikipedia, the free encyclopedia
via:tlipcon  random-naïve-bayes  naïve-bayes  random-forests  ml 
december 2008 by chl
java machine learning library (java-ml)
java  ml  lib  random-forests  clustering  refresh:1 
september 2008 by chl
jamie shotton - presentations
amongst others: a great presentation on random [decision] forests, also relates to cascades & ferns.
random-forests  slides  by:jamie-shotton  ferns  ☆ 
august 2008 by chl
shape quantization and recognition with randomized trees - citeseerx
inspired leo breiman.
random-forests  research-paper  cv  pr  q'd 
august 2008 by chl
object class segmentation using random forests
cv  random-forests  object-class-segmentation 
august 2008 by chl
parf - parallel random forests
parallel  random-forests  f90  code 
august 2008 by chl
statpatternrecognition and machine learning in hep
spr  c++  lib  hep  via:tlipcon  boosting  bagging  random-forests 
august 2008 by chl
notes on the random forests algorithm
slides'n'pointers.
ml  random-forests  slides 
august 2008 by chl
tin kam ho
ml  pr  random-forests  ip 
august 2008 by chl
random forest - wikipedia, the free encyclopedia
tin kam ho: random subspaces. leo breiman: random subsampling.
random-forests  ☆ 
august 2008 by chl
adele cutler
random-forests  ip 
august 2008 by chl
random forests
random-forests  ml 
july 2008 by chl
cran - package party
"party: a laboratory for recursive partytioning"
random-forests  r  refresh:1 
july 2008 by chl

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