spinxl39 - user overview - MetaOptimize Q+A

2

votes

2

answers

3k

views

Gibbs sampling in non-conjugate models

Sep 02 '10 at 10:26 Denzel111●3●4●10 (asked by spinxl393698●11●48●69 )

5

votes

4

answers

6k

views

Current hot research areas in machine learning?

Aug 02 '10 at 10:12 DirectedGraph560●3●14●24 (asked by spinxl393698●11●48●69 )

open-ended community machine-learning

3

votes

1

answers

1k

views

number of latent dimensions in probabilistic CCA

Jul 27 '10 at 22:25 Alexandre Passos ♦25541●54●278●421 (asked by spinxl393698●11●48●69 )

bayesian dimensionality-reduction cca probabilistic

11

votes

3

answers

4k

views

distance based learning algorithms in high dimensions

Sep 08 '11 at 01:55 Mathieu Blondel1191●2●16●15 (asked by spinxl393698●11●48●69 )

high-dimensional distance distance-based-learning nearest-neighbors

1

votes

2

answers

1k

views

Feature set independence in co-training

Jul 17 '10 at 04:06 charlie140●12●14●17 (asked by spinxl393698●11●48●69 )

co-training

1

votes

1

answers

2k

views

subspace clustering

Jul 15 '10 at 21:34 spinxl393698●11●48●69

clustering subspace-clustering

4

votes

3

answers

3k

views

Difference between domain adaptation and multitask learning

Aug 13 '10 at 10:16 Frank1349●27●44●53 (asked by spinxl393698●11●48●69 )

multi-task-learning transfer-learning domain-adaptation

5

A guide to recent active learning research

4

What are some Novel, Emerging Areas of Machine Learning

1

ML systems implementing the Johnson-Lindenstrauss lemma

1

Incremental K-Means Clustering

5

State of the art methods for multi-label classification

0

Dirichlet Process Textbook

1

Principal Component Analysis in matlab

1

Lasso or Dantzig: which one works better?

2

Latent Dirichlet Allocation Tutorial

2

Markov Random Field Tutorials

2

Least Square by randomized projections

1

Can constrained optimization techniques be applied to unconstrained problems ?

1

What if your training and testing set do not share the feature space?

6

Gibbs Sampling Survey and Tutorials

1

Survey paper for Topic Models

3

Kernel PCA for natural language

1

Difference between LSI and PCA

1

How does one find the intrinsic dimensionality of the data when singular values decay slowly?

2

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

0

How do I sparsify a dense feature representation?

3

Distance matrix based classification algorithms

5

Significance of second smallest Eigenvector

1

What do you people think about Twitter Annotations?

2

Point estimation: bayesian posterior mode or posterior mean?

2

ML for Structural Clustering of Graphs

4

bagging or boosting

3

What is the best categorizer approach for text tag prediction?

1

practical successes of semi-supervised learning?

1

practical successes of semi-supervised learning?

4

What is the relationship between confidence-weighted online learning and second-order optimizers?

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linear-algebra × 3
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squares × 3
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7 Questions

Gibbs sampling in non-conjugate models

Current hot research areas in machine learning?

number of latent dimensions in probabilistic CCA

distance based learning algorithms in high dimensions

Feature set independence in co-training

subspace clustering

Difference between domain adaptation and multitask learning

81 Answers

79 Votes

50 Tags

21 Kudos