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Unanswered Questions

12
votes
1answer
114 views

Can gradient boosted trees fit any function?

For neural networks we have the universal approximation theorem which states that neural networks can approximate any continuous function on a compact subset of $R^n$. Is there a similar result for ...
9
votes
0answers
348 views

Using RNN (LSTM) for Gesture Recognition System

I'm trying to build a gesture recognition system for classifying ASL (American Sign Language) Gestures, so my input is supposed to be a sequence of frames either from a camera or a video file then it ...
9
votes
1answer
138 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 ...
9
votes
1answer
202 views

How do I figure out if subsets can be plotted in a normal Euler diagram?

In some cases, it may be impossible to draw Euler diagrams with overlapping circles to represent all the overlapping subsets in the correct proportions. This type of data then requires using polygons ...
6
votes
3answers
68 views

Prediction from data series with varying features

I'm looking into a problem where the data points have unequal features. Each instance represents the progression of an item throughout the system. A number of them have progressed to their end point,...
6
votes
1answer
250 views

Differences between Test & Score results and calculated by Confusion Matrix (accuracy, sensitivity and specificity)

We are using Orange and have 2 files (training and testing). We apply different Learners (kNN, AdaBoost...) and get the Evaluation Results. But we have some doubts about some options in the Test & ...
6
votes
1answer
1k 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
2answers
105 views

Estimating data set size for grammar extraction

I have a dependency treebank including 100 sentences, which I divide into a training set and a test set. I extract some rules ((DS,PS) pairs) to convert the treebank to phrase structures. When I ...
6
votes
1answer
492 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 ...
6
votes
0answers
424 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 ...
5
votes
1answer
34 views

Improve NER label results on Non-Enlgish text

I am working on some Medieval Latin text and was using various methods of NER such as CLTK (Latin Model), Spacy (Multilingual, Italian, Spanish Model) and StanfordNER (Spanish Model). When I used the ...
5
votes
0answers
521 views

How to draw convolutional neural network diagrams?

I have to draw a CNN diagram similar to this: I tried all the tools mentioned in https://datascience.stackexchange.com/a/14900, but there is no easy way to do it. Is there any automated way to do it? ...
5
votes
0answers
202 views

Bag of Visual Words

What I am trying to do: I am trying to classify some images using local and global features. What I have done so far: I have extracted sift descriptors for each image and I am using this as my ...
5
votes
1answer
52 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 ...
5
votes
1answer
58 views

Dealing with population instability

I am working on using machine learning to correctly predict a binary classification using an input dataset that I receive about once a month. The idea is that I train, test and validate the ...

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