Oscar Täckström
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Research scientist working on machine learning methods for natural language understanding. |
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12 Questions
1
votes
0
answers
627
views
Machine Learning Mailing List
3
votes
1
answers
1k
views
Relationship between margin and regularizer
2
votes
2
answers
1k
views
Has anyone tried OpenOpt?
1
votes
1
answers
2k
views
KL-divergence of multinomial distributions
0
votes
0
answers
531
views
Relevance feedback for various types of objects in a vector space
2
votes
1
answers
1k
views
Joint sequence labeling with CRFs
1
votes
1
answers
3k
views
Logistic regression, binary vs multiclass
1
votes
0
answers
871
views
Uniform convergence bounds with other estimators
0
votes
2
answers
2k
views
Naive Bayes MAP vs posterior predictive distribution
0
votes
1
answers
1k
views
Minimizing the interpolation of a convex and a non-convex function
2
votes
1
answers
2k
views
Comparing multiple classifiers on a single test set based on accuracy and F1
40 Answers
134 Votes
129
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5
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50 Tags
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graphical-models
× 9 feature-selection × 8 optimization × 7 machine-learning × 7 text-classification × 7 sentiment-analysis × 6 sparse × 6 svm × 5 classification × 4 local-minima × 4 |
text-mining
× 4 maxent × 4 k-means × 4 quasi-newton × 4 maximum-entropy × 4 kl-divergence × 4 multinomial-distribution × 3 em × 3 pca × 3 sequence-labeling × 3 |
map
× 3 unsupervised-learning × 3 rbm × 3 hypothesis-testing × 3 categorical-distribution × 3 lda × 3 gibbs-sampling × 3 deep-learning × 3 nlp × 3 confidence × 3 |
evaluation
× 3 weka × 3 bayesian × 3 regression × 2 autoencoder × 2 pattern-matching × 2 gmm × 2 baseline × 2 ir × 2 hdp × 2 |
dbn
× 2 mle × 2 annotation × 2 semi-supervised × 2 confidence-intervals × 2 computer-vision × 2 projections × 2 social × 2 online-learning × 2 naivebayes × 2 |
22 Kudos
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● Appreciated Answer × 24 ● Conspicuous Question × 12 ● Prominent Question × 12 ● Well-Known Question × 12 ● Cognoscenti × 9 ● Esteemed Answer × 8 |
● Appreciated Question × 5 ● On the record × 2 ● Guide × 1 ● Pronouncement × 1 ● Commentator × 1 ● Esteemed Question × 1 |
● Participant × 1 ● Adulated Answer × 1 ● Vigilant × 1 ● Blue Pencil × 1 ● Mentor × 1 ● Advocate × 1 |
● Prized Question × 1 ● Inquisitive × 1 ● Revisionist × 1 ● Revisitation × 1 |