Unanswered Questions

5,356 questions with no upvoted or accepted answers
10
votes
0answers
695 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 ...
9
votes
0answers
245 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 ...
8
votes
1answer
3k 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 ...
8
votes
0answers
281 views

ngram and RNN prediction rate wrt word index

I tried to plot the rate of correct predictions (for top 1 shortlist) with relation to word's position in sentence : I was expecting to see a plateau sooner on the ngram setup since it need less ...
8
votes
1answer
635 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 ...
7
votes
4answers
98 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 ...
7
votes
1answer
108 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 ...
7
votes
1answer
289 views

Sort numbers using only 2 hidden layers

I'm reading the cornerstone paper Sequence to Sequence Learning with Neural Networks by Ilya Sutskever and Quoc Le. On the first page, it briefly mentions that: ...
7
votes
0answers
536 views

What is the difference between fasttext and DANs in document classification?

I came across two interesting papers which describe promising approaches for document classification using word embedding. 1. The fasttext algorithm Described in the paper Bag of Tricks for ...
7
votes
3answers
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 ...
6
votes
0answers
69 views

How to arrange the dataset/images for CNN+LSTM

I am working on an image classification problem using Transfer Learning with Resnet50 as base model (in Keras) (For example Class A and Class B). There is a time factor involved in this ...
6
votes
3answers
51 views

How to use a one-hot encoded nominal feature in a classifier in Scikit Learn?

I'm working on a genre classification problem on a songs dataset. Since genre is a nominal feature, I used sklearn's LabelBinarizer to get the one-hot encoding for this feature for every row in the ...
6
votes
1answer
114 views

Synthetic Gradients good number of Layers & neurons

I would like to train my LSTM with a "synthetic gradients" Decoupled Neural Interface (DNI). How to decide on the number of layers and neurons for my DNI? Searching them by trial end error or ...
6
votes
1answer
70 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 ...
6
votes
0answers
101 views

Is Minimax Linkage a Lance-Williams hierarchical clustering?

I found the following article on "Hierarchical Clustering With Prototypes via Minimax Linkage". It is stated in Property 6 that Minimax linkage cannot be written using Lance–Williams updates. A ...

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