4,621 questions with no upvoted or accepted answers
280 views

### Unable to figure out the linear embedding layer in the convolutional neural network?

I have the network architecture from the paper "learning fine-grained image similarity with deep ranking" and I am unable to figure out how the output from the three parallel network is merged using ...
2k views

### Catboost Categorical Features Handling Options (CTR settings)?

I am working with a dataset with large number of categorical features (>80%) predicting a continuous target variable (i.e. Regression). I have been reading quite a bit about ways to handle categorical ...
630 views

### Visualization of multiple Markov models

I am working on a project where we compare over 10 different Markov models, each representing a different treatment plan. Most often single models are visualized with a decision tree or transition ...
661 views

### Using Vowpal Wabbit for NER

The Vowpal Wabbit (VW) apparently supports sequence tagging functionality via SEARN. The problem is that I cannot find anywhere detailed parameter list with explanations and with some examples. The ...
597 views

### Why a restricted Boltzman machine (RBM) tends to learn very similar weights?

These are 4 different weight matrices that I got after training a restricted Boltzman machine (RBM) with ~4k visible units and only 96 hidden units/weight vectors. As you can see, weights are ...
125 views

### How to use Scikit-Learn Label Propagation on graph structured data?

As part of my research, I am interested in performing label propagation on a graph. I am especially interested in those two methods: Xiaojin Zhu and Zoubin Ghahramani. Learning from labeled and ...
74 views

### Does batch normalization mean that sigmoids work better than ReLUs?

Batch normalization and ReLUs are both solutions to the vanishing gradient problem. If we're using batch normalization, should we then use sigmoids? Or are there features of ReLUs that make them ...
511 views

### document classification : what is the difference betwen fasttext and DANs ?

I came across two interesting papers which describe promising approaches for document classification using word embedding. [1] the first one is the fasttext algorithm described in the paper : Bag of ...
2k views

### Unbalanced class: class_weight for ML algorithms in Spark MLLib

In python sklearn, there are multiple algorithms (e.g. regression, random forest ... etc.) that have the class_weight parameter to handle unbalanced data. However, I do not find such parameter for ...
52 views

### Strategies for handling unlabeled data which is slightly different from the labeled data

Suppose you have a dataset with the following properties: The number of samples is fairly large (~100K samples) There are ~150 contextual features and 1 feature consisting of a text-string (which can,...
87 views

### How to handle features which are not always available?

I have a feature in my feature vector that is not always available respectively sometimes (for some samples) it makes no sense to use it. I feed a sklearn MLPClassifier with this feature vector. Does ...
123 views

### Combining 2 Neural Networks

2 images as input, x1 and x2 and try to use convolution as a similarity measure. The idea is that the learned weights substitute more traditional measure of similarity (cross correlation, NN, ...). ...
68 views

### how to generate automatically images meshing up different shapes with a deep learning software?

My pursuite is to generate something like a grottesque(a kind of painting producing human-animals and plants hybrids). I need to do something like this paints in order to create an art exhibition. I ...