Artificial Intelligence

Questions tagged [multi-label-classification]

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For questions related to the multi-label classification problem, i.e. each example (or instance) can be labelled with more than one label.

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How to represent labels in dialogue state tracking

In Dialogue State Tracking in most of the papers there is often a small figure that denotes how the data is structured for example Global-Locally Self-Attentive Dialogue State Tracker or Neural belief ...
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3answers
110 views

Can I do image classification with Multi Layers Perceptron (MLP)?

I'm seeking guidence here. Can I use Multi Layers Perceptron (MLP), e.g regular flat neural networks, for image classification? Will they perform better than Fisher Faces? Is it difficult to do ...
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115 views

How to train a LSTM with multidimensional data

I am trying to train a LSTM, but I have some problems regarding the data representation and feeding it into the model. My data is a numpy array of three dimensions: One sample consist of a 2D matrix ...
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0answers
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Neural network to extract correlated columns

I want to use a neural network to find correlated columns in a .csv file and give them as a output. The input .csv file has ...
2
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0answers
43 views

Recent algorithms for correcting mislabeled data using multilayer perceptrons

I am doing literature research on algorithms for correcting mislabeled data using multilayer perceptrons. Found an "old" paper An algorithm for correcting mislabeled data (2001) by Xinchuan Zeng et al....
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1answer
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Are the labels updated during training in the algorithm presented in “An algorithm for correcting mislabeled data”?

I am trying to understand an algorithm for correcting mislabeled data in the paper An algorithm for correcting mislabeled data (2001) by Xinchuan Zeng et al. The authors are suggesting to update the ...
3
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1answer
73 views

Why is there more than one way of calculating the accuracy?

Some sources consider the true negatives (TN) when computing the accuracy, while some don't. Source 1: https://medium.com/greyatom/performance-metrics-for-classification-problems-in-machine-learning-...