<we><edit> <!-- questions and answers -->
conditional-probability
lme4-nlme
mathematical-statistics
survival
confidence-interval
estimation
survey
binomial
binary-data
statistical-significance
standard-error
p-value
mixed-model
mcmc
chi-squared
pca
simulation
multilevel-analysis
multivariate-analysis
repeated-measures
logistic
clustering
r
interaction
sampling
machine-learning
Pipelining of regressors in scikit-learn
regression
machine-learning
python
scikit-learn
ensemble
How to aggregate SentiWordNet sentiment for words correctly?
machine-learning
python
feature-construction
sentiment-analysis
(SVM) Difference between linear kernel and polynomial kernel of degree 1?
machine-learning
svm
kernel-trick
libsvm
GPUs or ram is more important?
machine-learning
deep-learning
AdaBoost algorithm question
machine-learning
data-mining
boosting
adaboost
What is minibatch discrimination?
machine-learning
deep-learning
generative-models
Is my TensorFlow OOP implementation of an LSTM ok?
machine-learning
neural-networks
deep-learning
tensorflow
lstm
How to choose the model hyperparameter after cross-validation when the model fit indices are really similar?
machine-learning
cross-validation
model-selection
hyperparameter
Approach to a multi-view object classfication problem
machine-learning
deep-learning
computer-vision
How to propagate uncertainty into the prediction of a neural network?
machine-learning
neural-networks
predictive-models
prediction
error-propagation
Which type of machine learning algorithm is suited for data from multiple flights?
machine-learning
time-series
How to interpret stable and overlapping learning curves?
machine-learning
cross-validation
python
svm
scikit-learn
What is the meaning of initializing weights from a distribution function
machine-learning
distributions
neural-networks
Confused about the realizability assumption and equations of upper bound
machine-learning
mathematical-statistics
theory
get_dummies vs categorical data in r for machine learning
machine-learning
categorical-data
how to weight KLD loss vs reconstruction loss in variational auto-encoder
machine-learning
deep-learning
tensorflow
autoencoders
variational-bayes
Random Forest has almost perfect training AUC compared to other models
machine-learning
generalized-linear-model
random-forest
scikit-learn
boosting
what is the correct permutation scheme for assessing the significance of the cross-validated accuracy of a two class classifier?
machine-learning
classification
accuracy
permutation-test
Designing a simple Reinforcement Learning themed game?
machine-learning
algorithms
reinforcement-learning
regular machine learning algorithms(not deep learning) like logistics regression/GBDT need more GPU?
machine-learning
The bandwidth (or sigma) for rbf kernel in M-SVM for classification
machine-learning
svm
scikit-learn
libsvm
rbf-kernel
Is my model linear or non-linear
machine-learning
linear-model
nonlinear
How to determine the optimal range for the important variables
machine-learning
optimization
random-forest
How to calculate accuracy from MAE,RMSE,RAE,RRSE values?
machine-learning
accuracy
weka
rms
mae
Neural Nets: One-hot variable overwhelming continuous?
machine-learning
neural-networks
tensorflow
data-preprocessing
theano
Intuition behind attribute learning in machine learning
machine-learning
feature-selection
transfer-learning
rows linkage for tracking process
machine-learning
matching
Is is true that Bayesians don't need test sets?
machine-learning
bayesian
cross-validation
deep-learning
How to verify the bias-variance decomposition using a simluated experiment
regression
machine-learning
variance
simulation
bias
Logistic regression using splines in python
machine-learning
python
splines
Why would anyone use KNN for regression?
regression
machine-learning
k-nearest-neighbour
DNN train/validate decisions - am I overfitting?
machine-learning
neural-networks
cross-validation
overfitting
hyperparameter
Resources for learning about multiple-target techniques?
regression
machine-learning
predictive-models
references
Definition of activation of input units xi = si in ADALINE
machine-learning
classification
neural-networks
definition of "hidden unit" in a ConvNet
machine-learning
STL decomposition is working for no increasing trend?
machine-learning
anomaly-detection
statsmodels
Standard deviation in regression trees
regression
machine-learning
normal-distribution
cart
Should you ever standardise binary variables?
machine-learning
normalization
binary-data
How to process categorical features with many values?
machine-learning
python
deep-learning
scikit-learn
many-categories
Piecewise constant distribution stationary test
machine-learning
distributions
stationarity
Linear regression or polynomial regression? - Choice of features
regression
machine-learning
multiple-regression
scikit-learn
linear
Parsing text data
machine-learning
data-mining
text-mining
natural-language
data-cleaning
feature scaling giving reduced output (linear regression using gradient descent)
regression
machine-learning
python
scikit-learn
gradient-descent
CNN Fully conected layer confusion
machine-learning
neural-networks
conv-neural-network
artificial-intelligence
How can I get the optimal perturbation of a trained model?
machine-learning
neural-networks
deep-learning
How to interpret the following GAN training losses?
machine-learning
deep-learning
generative-models
gan
What is variable importance?
machine-learning
definition
Training with a max-margin ranking loss converges to useless solution
machine-learning
neural-networks
ranking
loss-functions
Logistic Regression for random data
regression
machine-learning
logistic
python
Ridge Regression - Increase of the error on the trainings set
regression
machine-learning
mathematical-statistics
regularization
ridge-regression
Neural network architecture for formation classification based on 2d spatial data
machine-learning
neural-networks
conv-neural-network
How do I improve sklearn MLP regression output "variance"?
regression
machine-learning
scikit-learn
weak performance of caret bstTree
r
machine-learning
boosting
What is the difference between MIQ and MID in MRMR for feature Selection
machine-learning
classification
feature-selection
Understanding Connectionist Temporal Classification (CTC)
machine-learning
deep-learning
conv-neural-network
rnn
How to repair neural network's time sequence prediction?
machine-learning
neural-networks
What is the difference among stochastic, batch and mini-batch learning styles?
machine-learning
neural-networks
deep-learning
gradient-descent
backpropagation
General procedures for combined feature selection, model tuning, and model selection?
machine-learning
cross-validation
feature-selection
model-selection
hyperparameter
How to incorporate prior knowledge in GPML?
machine-learning
matlab
gaussian-process
Accuracy increases on decreasing the percentage of training data with stable precision, recall and F-score
machine-learning
cross-validation
naive-bayes
precision-recall
tf-idf
Alternative to The Elements of Statistical Learning: Data Mining, Inference, and Prediction
machine-learning
self-study
references
Classification of categorical value using time-series graphs?
r
machine-learning
time-series
classification
python
Is random state a parameter to tune?
machine-learning
scikit-learn
Does using a kernel function make the data linearly separable? If so, why using soft-margin SVM?
machine-learning
classification
svm
Conv2d in keras
machine-learning
tensorflow
keras
Multiclass classifier with given number of possible hyperplanes
machine-learning
classification
svm
dataset
multi-class
Relationship between High Variance in Machine Learning and Statistics
machine-learning
variance
Unscented Kalman filter-negative covariance matrix
machine-learning
bayesian
signal-processing
computational-statistics
kalman-filter
Feature engineering with non-fixed length vectors?
machine-learning
svm
Why do my Feature Importance and Partial Dependence plots not agree?
machine-learning
classification
data-visualization
feature-selection
random-forest
Observation symbols for training a set of HMMs
machine-learning
hidden-markov-model
Time series Decomposition
machine-learning
time-series
intermittent-time-series
EM algorithm with constraints
machine-learning
expectation-maximization
Different regression algorithms with many categorical variables
r
machine-learning
neural-networks
python
Setting up a MLP for binary classification with tensorflow
machine-learning
classification
deep-learning
tensorflow
Reward functions in reinforcement learning
machine-learning
reinforcement-learning
Help understanding how more features than word embeddings are fed into a neural network
machine-learning
feature-selection
natural-language
detecting persons on video/frames
machine-learning
neural-networks
If only prediction is of interest, why use lasso over ridge?
machine-learning
prediction
lasso
regularization
ridge-regression
Why SVM classifier generates bad results with LDA in Classification of audio data?
machine-learning
pca
svm
libsvm
Difference between Factorization machines and Matrix Factorization?
machine-learning
data-mining
recommender-system
Cross Validation with Preprocessing (Normalization, Discretization, Feature Selection)
machine-learning
validation
weka
data-preprocessing
Creating training and validation sets for churn model
machine-learning
modeling
train
churn
Training threshold vs validation threshold for better prediction results?
machine-learning
model-selection
threshold
h2o
Understanding of the sigmoid activation function as last layer in network
tensorflow
machine-learning
deep-learning
conv-neural-network
Relevant statistical features for time in consumer data
machine-learning
distributions
classification
feature-selection
More data, to counteract overfitting, results in worse validation accuracy
machine-learning
deep-learning
Deep learning/Machine Learning to Predict Function Values
machine-learning
deep-learning
Tackling highly skewed features in predictive modelling?
machine-learning
computational-statistics
How to use the information in soft (class) labels?
machine-learning
probability
classification
Generalized Pareto distribution (GPD)
machine-learning
mathematical-statistics
extreme-value
maximum
extremal-dependence
Estimating change in probabilities in 2 exponential distributions
machine-learning
conditional-probability
exponential-distribution
What are soft classes?
machine-learning
probability
classification
tensorflow
Naive Bayes: Mix unigrams and bigrams for text classification?
machine-learning
naive-bayes
Classification for high dimension data
machine-learning
classification
data-transformation
dataset
high-dimensional
K nearest neighbours model complexity
machine-learning
data-mining
model
k-nearest-neighbour
Are these methods suitable for predicting a numeric value?
regression
machine-learning
svm
predictive-models
cart
Boosting causes problem with Pink Noise? When Normalization is not good?
machine-learning
mathematical-statistics
error
boosting
ensemble
can better features help with generalization performance (variance)?
machine-learning
variance
Why is the validation accuracy fluctuating?
machine-learning
python
deep-learning