Rob Renaud - user overview - MetaOptimize Q+A

Rob Renaud

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member since	Feb 01 '11 at 16:49
last seen	Oct 17 '13 at 10:54

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11 Questions

votes

answers

519

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Combining abundant, noisy labels with rarer, cleaner labels in a supervised learning system

Apr 20 '13 at 07:51 digdug245●11●16●20 (asked by Rob Renaud724●11●19●31 )

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911

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Modelling label correlations in multi-label classification

Apr 25 '13 at 18:11 Rob Renaud724●11●19●31

rbm multi-task-learning

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How to detect poorly written text

Jan 04 '13 at 07:05 Alexandre Passos ♦25541●54●278●421 (asked by Rob Renaud724●11●19●31 )

spelling-correction grammar-checking

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IBM style word alignment models with additional features

Jun 02 '12 at 09:38 lizhonghua21●3●3●6 (asked by Rob Renaud724●11●19●31 )

machine-translation ibm word-alignment

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Finding the other modes or 2nd MAP in a graphical model

May 13 '12 at 13:49 Alexandre Passos ♦25541●54●278●421 (asked by Rob Renaud724●11●19●31 )

map graphical-models likelihood inference

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771

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Recommended APIs to reasonably easily scrape 1000 news articles about current election

Nov 29 '11 at 15:55 Rob Renaud724●11●19●31

scraping api

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Calibrating naive bayes

Sep 27 '11 at 01:23 Yaroslav Bulatov2333●21●43●65 (asked by Rob Renaud724●11●19●31 )

calibration naivebayes

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Intuition about similiarity of kmeans and pca

Aug 02 '11 at 13:00 Jacob Jensen1914●31●56●63 (asked by Rob Renaud724●11●19●31 )

pca kmeans

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Tricks for handling big data: What to do when you have more data than CPU to crunch it

Feb 10 '14 at 00:52 Jeremiah M6●4●4●7 (asked by Rob Renaud724●11●19●31 )

ai game random forest

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Why does Google use both vector quantization and k means in Google Correlate?

May 28 '11 at 23:19 crdrn402●16●21●26 (asked by Rob Renaud724●11●19●31 )

vector kmeans quantization

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Train a classifier to predict game winner from card game logs

Feb 01 '11 at 19:44 Alexandre Passos ♦25541●54●278●421 (asked by Rob Renaud724●11●19●31 )

ai game

17 Answers

Random Decision Tree (preferably in Python)

[deleted] [meta] So much spam!

scaling chi-squared results?

Finding Best K with Map Reduce K-Means

Effect of selecting only the best attributes in Random Forest

Data science: People, algorithms, or data?

Log Probabiltiies in Multinomial Naive Bayes

Removing some previously clustered data / learned knowleges

AdaBoost For Binary Class Label Problem

High-accuracy graph-based semi-supervised learning?

How often ML fails?

Zobrist Hashing, why is symmetry significant?

Vowpal Wabbit and LSH

Using PCA with random subspace methods

Why does l1 regularization lead to sparse solutions?

Theory behind groups guessing the correct number of jellybeans in a jar or the correct weight of a cow

Scalable nearest neighbor

77 Votes

learning × 3
kmeans × 3
label-noise × 2
calibration × 2
domain-adaptation × 2
online-learning × 2
map × 2
pca × 2
active-learning × 2
accuracy × 2

graphs × 2
search × 2
likelihood × 2
machine-translation × 2
machine-learning × 2
graphical-models × 2
ibm × 2
inference × 2
decision-trees × 2
word-alignment × 2

meta × 1
api × 1
vector × 1
adaboost × 1
discussion × 1
quantization × 1
multinomial × 1
estimation × 1
lsh × 1
regularization × 1

ensemble × 1
linear-algebra × 1
sampling × 1
feature-selection × 1
data × 1
structured × 1
fail × 1
prediction × 1
features × 1
wabbit × 1

17 Kudos

● Prominent Question × 11
● Conspicuous Question × 11
● Well-Known Question × 11
● Appreciated Answer × 8
● Appreciated Question × 4
● Cognoscenti × 4

● Esteemed Answer × 2
● Revisionist × 1
● Guide × 1
● Vigilant × 1
● Pronouncement × 1
● Blue Pencil × 1

● Mentor × 1
● Commentator × 1
● Participant × 1
● Inquisitive × 1
● Advocate × 1

Registered user

11 Questions

17 Answers

77 Votes

50 Tags

17 Kudos