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karma

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member since	Jan 29 '11 at 23:07
last seen	May 22 '14 at 06:47

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11 Questions

votes

answers

581

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L1 penalized kernel SVM?

Feb 05 '14 at 20:45 digdug245●11●16●20

votes

answers

553

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Any advantages to NMF over PCA if I don't care about positivity?

Feb 04 '14 at 12:57 Dawen Liang86●3 (asked by digdug245●11●16●20 )

clustering nmf pca

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answers

561

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Testing an implementation of the hashing trick?

Jul 16 '13 at 22:34 digdug245●11●16●20

svd software hashing

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748

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Hashing trick for low-cardinality features

Jul 01 '13 at 14:53 Alexandre Passos ♦25541●54●278●421 (asked by digdug245●11●16●20 )

hashing

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356

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Problem understanding structured prediction

May 04 '13 at 00:59 digdug245●11●16●20

structured-learning

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Elastic-net proximal operator

Jul 27 '13 at 08:42 Alexandre Passos ♦25541●54●278●421 (asked by digdug245●11●16●20 )

elasticnet proximal-operator penalization lasso

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831

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Practical multi-task linear regression code?

Feb 18 '13 at 00:15 digdug245●11●16●20

software regression multi-task-learning

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818

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Lasso estimates tend to shrink with increasing number of variables

Feb 13 '13 at 18:09 digdug245●11●16●20

regression lasso

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567

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Comparing models with different loss functions without cross-validation?

Nov 05 '12 at 16:28 digdug245●11●16●20

model-selection crossvalidation

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answers

views

Relationship between sparse dictionary learning and lasso

Oct 16 '12 at 18:51 digdug245●11●16●20

dictionary lasso

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Soft thresholding + KKT for lasso

Sep 08 '11 at 02:37 digdug245●11●16●20

kkt soft-thresholding lasso

17 Answers

What are the advantages of kernel PCA over PCA?

Why do we need a soft-margin if we are using a kernel in SVM?

How can representer theorem(in RKHS) be applied to SVM?

Scaling hinge loss in SVM

Pointers on cross validation using vowpal Wabbit

Does all classification algorithms tries to predict the whole input set?

Does it make sense to minimize negative log likelihood on SVC probability outputs

Exploratory clustering of sample or full data set?

Sparse inverse covariance estimation in high dimensional data

AUC calculation from confusion matrix

bin values before using a random forest?

multiclass multilabel classification

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

Why use cross validation to select hyperparameters?

Rule extraction from SVM / large scale decision trees

regarding highly unbalanced validation set for classification

-1

Optimizate a function with a discrete parameter space (CNN)

13 Votes

soft-thresholding × 4
sampling × 3
precision × 3
kernel × 3
confidence-level × 2
svd × 2
hashing × 2
decision-trees × 2
vowpal-wabbit × 2
support-vector-machines × 2

linear × 2
optimization × 2
estimation × 2
software × 2
recall × 2
pca × 2
transduction × 2
sequential-testing × 2
clustering × 2
power-analysis × 2

threshold × 2
roc × 2
model-selection × 2
large-scale × 2
normal × 2
equation × 2
methodology × 1
introduction × 1
textbooks × 1
validation-data × 1

least-squares × 1
cost × 1
derivation × 1
signal-processing × 1
kernel-trick × 1
prediction × 1
elasticnet × 1
random-forests × 1
toolkit × 1
loss-function × 1

15 Kudos

● Well-Known Question × 11
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● Cognoscenti × 2
● Appreciated Answer × 2
● Prized Question × 1

● Discriminating × 1
● Revisionist × 1
● Appreciated Question × 1
● Commentator × 1
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● Mentor × 1
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● Advocate × 1

Registered user

11 Questions

17 Answers

13 Votes

50 Tags

15 Kudos