4,295 questions with no upvoted or accepted answers
177 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 ...
539 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 ...
77 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,...
372 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 ...
297 views

### Weight decay in neural network

I have been reading through this book and am trying to do the exercises. The problem is "Connecting regularization and the improved method of weight initialization" part 3. We have to use a heuristic ...
1k 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 ...
452 views

### Layman's Interpretation of XGBoost Importance

I'm trying to come up with a good way to explain the 3 importance metrics (Gain, Cover, Frequency) to a layman with only a basic understanding of XGBoost and trees in general. How best would you ...
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 ...
450 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 ...
69 views

### Why does my Keras model learn to recognize the background?

I'm trying to train this Keras implementation of Deeplabv3+ on Pascal VOC2012, using the pretrained model (which was also trained on that dataset). I got weird results with the accuracy quickly ...
39 views

### Improve NER label results on Non-English 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 ...
53 views

### Transfer learning in reinforcement learning?

Let's say I'd like to design a Q learning algorithm that learns to play poker. The number of different possible States is very large, but a lot are very similar: for example, if the initial state ...
294 views

### scikit-learn n_jobs parameter on CPU usage & memory

In most estimators on scikit-learn, there is an n_jobs parameter in fit/predict methods for ...