Philemon Brakel - user overview - MetaOptimize Q+A

Philemon Brakel

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member since	Sep 28 '10 at 04:04
last seen	May 16 '14 at 09:39

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10 Questions

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How to estimate three-state monophone positions?

Oct 25 '13 at 09:30 Philemon Brakel2445●10●35●60

phones asr speech-recognition hmm

3

votes

1

answers

2k

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Empirical vs variational Bayes

Mar 13 '11 at 08:11 Philemon Brakel2445●10●35●60

bayesian approximate-inference empirical-bayes variational-inference

2

votes

3

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1k

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Multi-task learning for time-series data

Feb 09 '11 at 11:23 Melipone Moody221●4●6●8 (asked by Philemon Brakel2445●10●35●60 )

time-series multi-task-learning

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votes

1

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1k

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Can a Metropolis sampler be tricked to walk into the wrong direction for extended periods of time?

Jan 02 '11 at 08:16 Philemon Brakel2445●10●35●60

distributions metropolis mcmc

3

votes

1

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2k

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MCMC and the inverse-Wishart distribution

Dec 28 '10 at 05:06 Philemon Brakel2445●10●35●60

priors hierarchical-bayes mcmc

3

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5

answers

1k

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negative results in machine learning

Dec 16 '10 at 11:23 Philemon Brakel2445●10●35●60

falsification publications machine-learning

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1

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1k

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Looking for interesting sequential missing-data problems

Nov 24 '10 at 17:11 Alexandre Passos ♦25541●54●278●421 (asked by Philemon Brakel2445●10●35●60 )

datasets sequences

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0

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1k

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About training Markov Random Fields with many latent variables

Nov 09 '10 at 03:59 Philemon Brakel2445●10●35●60

graphical-models bolzmann-machines markov-random-fields latent-variables

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1

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3k

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Can the training error of AdaBoost sometimes increase after adding a new weak learner?

Oct 15 '10 at 07:08 Philemon Brakel2445●10●35●60

optimization loss-function adaboost boosting

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3k

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Computing the Gauss-Newton matrix vector product for neural networks

Nov 08 '10 at 09:41 Subodh Iyengar1 (asked by Philemon Brakel2445●10●35●60 )

hessian-free backpropagation optimization neural-networks gauss-newton hessian

61 Answers

marginal polytope and variational methods

Recurrent Neural Nets reading list

Free energy of deep Boltzmann machine

Naive Bayes Classifier

Parrallel Restricted Boltzman Machines - Clarifying step in paper

About the log-likelihood derivative in the Restricted Boltzman Machine (RBM) training

Iterated Conditional Mode approximation in E step of EM

Question about weight regularization in neural network

Second order optimization: Taylor functions on matrices

Using Deep Belief Network to model a joint probability

Relation between different ML models

How to calculate P(x1|y) in naive bayes classiﬁer

How can I set up a DBN (Deep Belief Network) for Gaussian real-valued inputs?

Parallelizing contrastive divergence and back propagation

A question about "posterior likelihood"

Simple algorithm for gaussian mixture model

Sparse Features modeling with a Mixture of Gaussians

Toy corpus for LSI examples

Transitions Between Vectors, Conditional Probability

Learning Bias in multiclass softmax

difference between distribution and density

Sparse Autoencoder (UFLDL) Tanh activation?

RBM with Gaussian visible units and normalization

how to compare RBM models

How to do an ancestral pass in a Deep Belief Network?

Neural Probabilistic network for Language modeling

Neural Networks~ Can anyone explain the difference between *linear* and *nonlinear* control?

How to build an artificial intelligence/chatbot with…which language?

Short Text Classification

Heavy Tailed Distributions

View all questions answered by Philemon Brakel

115 Votes

115

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50 Tags

machine-learning × 20
rbm × 11
neural-networks × 10
mcmc × 8
publications × 7
falsification × 7
mixture × 6
time-series × 6
classification × 6
distributions × 6

bayesian × 5
metropolis × 5
multi-task-learning × 5
optimization × 5
bolzmann-machines × 4
markov-random-fields × 4
sgd × 4
dbn × 4
graphical-models × 4
naivebayes × 4

latent-variables × 4
recurrent-neural-networks × 4
deep-learning × 4
hessian-free × 4
rnn × 3
priors × 3
gibbs-sampling × 3
dirichlet-process × 3
mathematics × 3
regularization × 3

em × 3
sampling × 3
variational-inference × 3
hierarchical-bayes × 3
modeling × 3
hmm × 2
gaussian × 2
clustering × 2
marginal × 2
learning × 2

language-model × 2
regression × 2
likelihood × 2
python × 2
gauss-newton × 2
models × 2
backpropagation × 2
posterior × 2
inference × 2
hessian × 2

19 Kudos

● Appreciated Answer × 36
● Cognoscenti × 13
● Prominent Question × 10
● Conspicuous Question × 10
● Well-Known Question × 10
● Esteemed Answer × 9

● Appreciated Question × 5
● Prized Question × 1
● Inquisitive × 1
● Guide × 1
● Revisionist × 1
● Vigilant × 1

● Pronouncement × 1
● Advocate × 1
● Abstemious × 1
● Mentor × 1
● Commentator × 1
● Participant × 1

● Blue Pencil × 1

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