chl + ml   661

from data to knowledge: machine-learning with real-time and streaming applications
cshalizi: 'intellectuals gathering in berkeley to argue about "knowledge" and "revolution".'
conf  ml  from delicious
february 2012 by chl
molecules from scratch without the fiendish physics | kurzweilai
replacing schrödinger's equation with machine learning algorithms.
follow-up-refs  physics  ml  from delicious
february 2012 by chl
jellyfish
"[...] software for large-scale matrix completion."
matrix-completion  ml  via:zenogantner  from delicious
january 2012 by chl
senna
~3500 lines of c that can do pos tagging, chunking, named-entity recognition, semantic role labeling &c;.
srl  ner  pos-tagging  ronan-collobert  nn  ml  nlp  senna  from delicious
january 2012 by chl
stan - a c++ library for probability and sampling - google project hosting
"[...] a directed graphical model compiler (like bugs) that uses adaptive hamiltonian monte carlo sampling to estimate posterior distributions for bayesian models."
graphical-models  bayes  ml  stan  from delicious
january 2012 by chl
hashing algorithms for large-scale learning - microsoft research
"we compare b-bit minwise hashing with the count-min (cm) and vowpal wabbit (vw) algorithms, which have essentially the same variances as random projections. our theoretical and empirical comparisons illustrate that b-bit minwise hashing is significantly more accurate (at the same storage cost) than vw (and random projections) for binary data."
ml  random-projections  b-bit-minwise-hashing  vowpal-wabbit  hashing  from delicious
january 2012 by chl
news:sgd-2.0_released [léon bottou]
"this release provides implementations of the stochastic gradient descent and averaged stochastic gradient descent algorithms for linear svms and crfs. the latter sometimes shows vastly superior performance."
ml  sgd  by:léon-bottou  from delicious
october 2011 by chl
gaelvaroquaux/scikit-learn-tutorial - github
Material from Gael Varoquaux's scikits.learn tutorial on statistical learning in Python #SciPy2011
scikits.learn  numpy  scipy  ml  tutorial  by:gael-varoquaux  SciPy2011  from delicious
july 2011 by chl
[1106.2429] efficient online learning via randomized rounding
"most online algorithms used in machine learning today are based on variants of mirror descent or follow-the-leader. in this paper, we present an online algorithm based on a completely different approach, which combines "random playout" and randomized rounding of loss subgradients."
ml  online-learning  paper  later  via:shivak  from delicious
june 2011 by chl
youtube - the future of robotics and artificial intelligence (andrew ng, stanford university, stan 2011)
The Future of Robotics and Artificial Intelligence (Andrew Ng, Stanford University, STAN 2011): #machine learning
watchlist  talk  by:andrew-ng  ml  robotics  machine  watchedlist  from delicious
june 2011 by chl
first thoughts on orthogonal matching pursuit « my programming and machine learning blog
First thoughts on Orthogonal Matching Pursuit #machinelearning #sparsecoding #gsoc2011 /by Vlad Niculae
orthogonal-matching-pursuit  ml  later  sparsecoding  gsoc2011  machinelearning  from delicious
june 2011 by chl
a statistical learning/pattern recognition glossary
A Statistical Learning/Pattern Recognition Glossary #machinelearning
ml  pr  glossary  machinelearning  from delicious
may 2011 by chl
twitter conversation with mathieuen
"hash trick + cross-product features = polynomial kernel-like features in feature space"
ml  from delicious
april 2011 by chl
youtube - bay area vision meeting: unsupervised feature learning and deep learning
andrew ng on (recent successes in) unsupervised feature learning, sparse coding &c.: / merci à @ogrisel
cv  ml  watchlist  via:ogrisel  google-techtalk  by:andrew-ng  watchedlist  from delicious
april 2011 by chl
« earlier      

related tags

!  #elasticnet  #FOSDEM  #liblinear  #libsvm  #machinelearning  #NIPS2010  #python  #sleepdeprivedinthenameofscience  *****  2009-09-25  aaai  aaai-2008  abc-boost  abc-mart  academia  acceptance-rates  aco  active-learning  adaboost  adaline  adaption  adtree  ai  aiclass  aima  ais  aistats-2009  aixi  alchemy  aleph  alg  announcement  apprenticeship-learning  approximate-closest-pairs  arduino  article  astronomy  astrostatistics  audio  auto-diff  autoencoders  autonomous-driving  avrim-blum  await  awesome  awk  azure  b-bit-minwise-hashing  backprop  bagging  bandits  bart  bayes  bayes-nets  bayesnet  bci  beam-search  belief-propagation  bell-labs  benchmark  berkeley  best-of  best-papers  bi  bias-variance-trade-off  bigchaos  bigml  billaboop  bing  bio  bio-inf  biology  blockbuster  blog  bolasso  bolt  boltzmann-machines  book  books  boosted-decision-trees  boosting  boosting?  bootstrapping  bugs  by:aaron-hertzman  by:agray0?  by:alex-gray  by:alexei-efros  by:alon-halevy  by:andrew-mccallum  by:andrew-ng  by:andriy-mnih  by:antonio-torralba  by:arthegall  by:bernhard-schölkopf  by:bill-triggs  by:bradford-cross  by:charles-elkan  by:charles-kemp  by:charles-sutton  by:cshalizi  by:curtis-poe  by:david-barber  by:david-m-blei  by:david-mackay  by:david-mechner  by:dwf  by:fernando-pereira  by:gael-varoquaux  by:geoff-hinton  by:georges-harik  by:hal-daumé  by:i2pi  by:james-hays  by:jason-rennie  by:josh-wills  by:joshua-tenenbaum  by:justin-domke  by:kevin-knight  by:kevin-murphy  by:longhai-li  by:léon-bottou  by:mblondel  by:mdreid  by:michael-jordan  by:mreid  by:noam-shazeer  by:ogrisel  by:pascal-vincent  by:paul-mineiro  by:percy-liang  by:peter-norvig  by:peter-turney  by:pfh  by:pprett  by:pskomoroch  by:radford-neal  by:reza-shadmehr  by:risi-kondor  by:rob-fergus  by:ronan-collobert  by:sam-roweis  by:sami-bengio  by:samy-bengio  by:scott-aaronson  by:sebastian-thrun  by:simon-funk  by:ted-dunning  by:tin-kam-ho  by:tom-dietterich  by:tom-mitchell  by:ulrike-von-luxburg  by:weezur  by:yair-weiss  by:yann-lecun  by:yehuda-koren  by:yoav-freund  by:yuri-lifshits  by:zoubin-ghahramani  c#  c++  c4.5  cacm  caltech  cam  cambridge  cbll  cf  challenge  cheatsheets  chess  cifar  classics  classification  classifier  classifiers  clojure  clustering  cmu  co-training  code  cog-sci  cognition  colt  colt-2008  comp-bio  comp-go  comp-ling  comp-sci  competition  competitions  compressed-sensing  compressive-sampling  computer-assisted-discovery  conf  connectomics  controller  convolutional-neural-networks  cos242  cotraining  counterintuition  course  course-notes  courses  crf  cross-entropy  cross-validation  crossover-random-fields  crowdsourced-data  crowdsourcing  cs  cs229  ctr-prediction  ctypes  cuda  curr  curriculum  cv  cv?  cvpr  cvpr-2008  data  data-analysis  data-mining  data-parallel  data-proc  data-to-knowledge-2012  datadevroom  db  dbn  decision-trees  deep-learning  deep-nets  delta-lda  denoising-autoencoders  density-estimation  developmental-robotics  devroom  dictionary-learning  diffusion-maps  dim-red  dipre  discovery-of-structural-form  discussion  dist  distance-metric-learning  divergences  dlib  dm  docs  dolores-labs  dot-products  draft  dryad  dryadlinq  dsp  dup?  dupe  dupe?  dynamic-programming  eblearn  ecml-2008  eda  edu  elastic-net  elasticnet  em  energy-based-models  engedu  ensemble-methods  epca  esl-2  etl  eu:pascal  eval  evaluation  event  evolution  evolvability  excellent  exercises  expert-systems  exposition  extremely-randomized-trees  face-recognition  factor-graphs  factorie  fantastic  fastlib  feature-engineering  feature-selection  fest  filetype:pdf  fin  finance  flann  flightcaster  fm  follow-up  follow-up-links  follow-up-refs  food-for-thought  forum  forward-stagewise  fosdem  fosdem-2011  free  frequent-itemset  from:earl  from:gavin  funding  funk-svd  furf  gaussian-process  gblearn2  gbm  gbrt  gdd07  gen  genetics  genomics  geo  geoff-hinton  gestures  gha  gibbs-sampler  glmnet  glossary  gmail  gmdh  go  google  google-bigquery  google-io-2010  google-prediction-api  google-seti  google-sets  google-techtalk  gp  gpgpu  gps  gradient-boosting  gradient-descent  gram-schmidt  graphical-models  group-theory  groups  gsoc  gsoc2011  hadoop  harik-shazeer  harmonic-analysis  has:via  hashing  haskell  hbc  hci  hebbian-learning  heh  helicopters  hi-di  hierarchical-clustering  history  hit-prediction  hit-song-science  hmm  hypothesis-testing  ic  ica  iccv-2011  icml  icml-2008  icml2007  idea  ideas  idsia  ift6266  ilp  im2gps  images  in-progress  in:nature  incanter  inductive-bias  inductive-biases  inequalities  infer.net  info-theory  information-forests  inmf  intelligence-amplification  interesting  interpretability  interview  intro  ip  ipad-app  ipam  ir  isomap  java  javascript  jboost  jmlr  job  journal  k-means  kdd-2009  kdd-2011  kdd-cup-2009  kdd-cup-2011  kepler  kernel-distance  kernel-functions  kernel-methods  kernel-pca  kiefer-wolfowitz  knn  krems  l-bfgs  lang:fr  laplacian-eigenmaps  lar  large-scale  lars  lasso  later  lda  learning  learning-theory  lecture  lecture-notes  lectures  lfd  lib  libfm  liblinear  libs  libsvm  lin-reg  linear-classifiers  linearity  ling  lingpipe  links  linq  lisp  list  logistic-regression  loss-functions  low-dimensional-codes  lsa  lsh  lsl  lt  lua  lucene  lush  lvq  m2py  machine  machinelearning  mahout  mapreduce  markov-logic  mart  materials  math  matlab  matplotlib  matrix-completion  max-ent  maxent  mcmc  mdp  media:document  media:html  media:pdf  media:ps  message-passing  meta-features  metric-embeddings  mf  mit  ml  ml-as-sport  ml-forum  ml-radar  mlclass  mloss  mlpa  mlpack  mlpy  mlss  mlss-2009  mlss-2011  mmds  mmds-2008  mmmf  mmp  model-selection  mrf  msft  msr  msrc  mturk  multiclass-classifier  music  my:mblondel  mycin  n-gram  na  naive-bayes  naive-credal  nando-de-freitas  natural-gradient  navia  naïve-bayes  nca  ncap  nec  ner  netkit  neuro-sci  news.ycer  nflxprize  nflxprize-finale  nieme  nips  nips-2006  nips-2007  nips-2008  nips-2009  nips-2010  nips-2011  NIPS2010  NIPS2011  nlp  nltk  nmf  nn  no-free-lunch  node-harvest  noncon  nonlinearity  norb  notes  now!  npbayes  npde  numpy  nvidia  nyu  ocas  octave  ohmm  oja's-rule  omp  one-pass  online  online-alg  online-learning  online-pca  open-source  opencv  opencv-ml  opt  opt-2008  orange  orthogonal-matching-pursuit  os  out-of-print  overcomplete-repr  p:m3p2r  panalogies  paper  papers  parallel  particle-filtering  pca  pdp  peer-review  pegasos  people  perception  perceptron  perceptrons  personalization  peter-norvig  philosophy  physics  pig  planet  plop  plsa  plsi  pmf  pmi-ir  pos-tagging  postgresql  pr  prediction  preprocessing  priority-inbox  prob  probabilistic-topic-models  proceedings  project-natal  prolog  psychology  pubs  pubtrack  pvm  pybrain  pycon-2009  pycon-2011  pysgd  python  q&a  q'd  qda  quantum-alg  r  random-features  random-forests  random-indexing  random-kitchen-sinks  random-naïve-bayes  random-projections  ranking  rating:fantastic  rbm  rc  reading-group  reading-list  readings  rec-sys  reddit  ref  refresh:1  refresh:3  refs  regression  regression-trees  regularization  reinforcement-learning  relational-bayesian-networks  relevance  research  research-changing-books  research-group  research-paper  resolve:hal3  resources  retrospective  review-paper  revisit-in:2007-09  ri  ril  rkhs  rnn  roadmap  robbins-monro  robot-science  robotics  roc  rocr  ronan-collobert  rprop  rstats  scala  sci  science  scikit  scikit-learn  scikits.learn  scipy  SciPy2011  scratch-input  seam-carving  sebastian-seung  see  see-ml-class  self-driving-cars  self-parking-cars  self-taught-hashing  semantic-engine  semantic-hashing  semantic-texton-forests  semi-supervised-learning  seminars  semisup  senna  series:synthesis-lectures  sgd  shark  shell  shogun  shopping  sim-search  similarity  similarity-graphs  similarity-learning  similarity-metrics  similarity-search  simon-funk  single-pass  sleepdeprivedinthenameofscience  slides  snowbird  soda  soda-2009  software  som  sound  sparse-codes  sparse-coding  sparse-representations  sparsecoding  specialist-gradient-descent  spectral-clustering  spectral-kernel-methods  srl  ssll-2009  stan  stanford  stat  stat-mt  stat-nlp  statistical-learning-theory  statistical-relational-learning  statlog  stats  status:watched  stochastic-approximation  stochastic-discrimination  story  strat  structurally-random-matrices  summaries  summer-school  survey  svd  svm  sw  syllabus  symbolic-regression  synergetic-intelligence  t-sne  talk  talks  tanagra  teaching  text-mining  text-proc  tf-idf  theano  thesis  thesis/phd  toefl  tom-mitchell  topic-modeling  topic-models  topics  torch3  torch5  trees  trueskill  tutorial  tutorials  twitter  uai  uav  unsupervised-learning  vectors  via:*  via:?  via:agray0  via:alstrup  via:arsyed  via:arthegall  via:atrilla  via:benmoran  via:bob-carpenter  via:brendano  via:britta  via:centr0id  via:csantos  via:cshalizi  via:cwensel  via:dabd  via:ded_maxim  via:der_mo  via:dwf  via:fractal76  via:gappy  via:gappy3000  via:gelman-gang  via:glinden  via:herrmann  via:innersmile0790  via:javadi82  via:jdkimball  via:jhammerb  via:jhofman  via:jolby  via:lemonodor  via:maciej  via:mikiobraun  via:mirwox  via:mreid  via:neuraxon77  via:news.yc  via:nikete  via:ogrisel  via:pskomoroch  via:rocksportrocker  via:schaul  via:shivak  via:sidmitra  via:simon.belak  via:sonots  via:ssn  via:tahonen  via:tang  via:timwee  via:tisihara  via:tlipcon  via:trunov  via:vaguery  via:wnpxrz  via:yann-lecun  via:zenogantner  video  video-lecture  video-lectures  videos  vision  viz  vowpal-wabbit  watchedlist  watchlist  watchlist-source  weka  with:edwin-chen  with:geoff-hinton  with:tom-mitchell  with:vladimir-vapnik  with:yann-lecun  woah  wordnet  worio  workbench  workflow  wrapper  xbox  xrf  y!  y!-labs  yann-lecun  zite   

Copy this bookmark:



description:


tags: