downer - user overview - MetaOptimize Q+A

0

votes

0

answers

599

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Sequentially updateable histogram

Apr 14 '12 at 14:29 downer548●9●17●20

sequential histogram

1

votes

1

answers

2k

views

List of loss functions for linear models? List of regularization losses?

Mar 30 '12 at 17:11 Alexandre Passos ♦25541●54●278●421 (asked by downer548●9●17●20 )

0

votes

4

answers

2k

views

Building a gift recommendation engine

Nov 25 '12 at 08:33 Brett0 (asked by downer548●9●17●20 )

design system recommendation

0

votes

1

answers

1k

views

Sequentially trained, unsupervised "chunking"- pushing text classifiers in the right direction

May 20 '11 at 11:00 downer548●9●17●20

chunking text-classification

1

votes

3

answers

1k

views

good-turing and density estimation

Nov 09 '10 at 03:59 Alexandre Passos ♦25541●54●278●421 (asked by downer548●9●17●20 )

good-turing density-estimation

0

votes

3

answers

3k

views

KL(p,q) for discrete distributions: what to do when q doesnt know about elements in p?

Oct 25 '10 at 09:41 b_a16●2●2●3 (asked by downer548●9●17●20 )

kl-divergence

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votes

2

answers

1k

views

dimensionality, variance, and size of training set

Oct 15 '10 at 11:27 downer548●9●17●20

dimensionality generalization-performance training-size dimensionality-reduction variance

7

votes

8

answers

3k

views

"smart" unsupervised dimensionality reduction and feature selection for "large" problems

Nov 24 '10 at 10:37 Gael Varoquaux921●4●14●26 (asked by downer548●9●17●20 )

dimensionality-reduction feature-selection large-scale

0

votes

1

answers

1k

views

Online density estimation of items drawn with repitition from a heavy-tailed distribution

Sep 29 '10 at 13:49 Joseph Turian ♦♦5790●51●125●146 (asked by downer548●9●17●20 )

density-estimation

0

Programming language to learn first?

0

Programming language to learn first?

0

large-scale learning of a single decision tree on a single core

0

AdaBoost vs. LogitBoost?

1

Active learning in practice: hyperparameter selection

0

Stochastic Gradient Descent with Numerical Derivatives

1

Why is machine learning not commonly associated with perl?

1

Given a dataset, how do you choose a machine learning algorithm

0

Building a gift recommendation engine

0

[deleted] what is www.freeb2b.org

-1

Hate Speech Dataset

0

Sequentially trained, unsupervised "chunking"- pushing text classifiers in the right direction

1

what can be estimated from weight vector w of a support vector machine?

0

Pairwise alignment of long string sequences

4

what can be estimated from weight vector w of a support vector machine?

0

What next on my data?

1

[closed] need AI papers

1

Fast and easy to interpret ensemble learners?

6

Large-scale clustering

0

"Best" Database for Stroring/Retrieving a Stable Lexicon

2

negative results in machine learning

0

good-turing and density estimation

0

good-turing and density estimation

2

Good Machine Learning Blogs

0

KL(p,q) for discrete distributions: what to do when q doesnt know about elements in p?

2

Hate Speech Dataset

0

dimensionality, variance, and size of training set

0

"smart" unsupervised dimensionality reduction and feature selection for "large" problems

2

Random forest output: Which features are predictive of class?

0

Sparse coding implementation?

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recommendation × 6
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design × 5
system × 5
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text-classification × 4
training-size × 3
generalization-performance × 3
linearclassifiers × 3
chunking × 3
variance × 3
loss-function × 3
dimensionality × 3
regularization × 3
hate-speech × 2

dataset × 2
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programming × 2
algorithms × 2
dynamic-programming × 1
stochastic-gradient × 1
clustering × 1
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lexicon × 1
language × 1

active-learning × 1
k-means × 1
code × 1
data × 1
sparse × 1
histogram × 1
blogs × 1
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Registered user

9 Questions

Sequentially updateable histogram

List of loss functions for linear models? List of regularization losses?

Building a gift recommendation engine

Sequentially trained, unsupervised "chunking"- pushing text classifiers in the right direction

good-turing and density estimation

KL(p,q) for discrete distributions: what to do when q doesnt know about elements in p?

dimensionality, variance, and size of training set

"smart" unsupervised dimensionality reduction and feature selection for "large" problems

Online density estimation of items drawn with repitition from a heavy-tailed distribution

31 Answers

96 Votes

50 Tags

15 Kudos