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Questions tagged [labeling]

The tag has no usage guidance.

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1answer
563 views

Unsupervised learning methods on unlabeled data?

I'm facing with a challenge of unsupervised classification of unlabeled data. The case is, I have circa 1.2 million vehicle warranty claims, and must develop a classification model to tell whether ...
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1answer
27 views

When is it okay to label data yourself? (And semi-supervised learning)

i'm pretty new to machine learning so i think this might be a realy basic question. Let's imagine the following scenario: I want to classify projects as either active or inactive. Projects can be ...
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1answer
25 views

Merge one label with one information for classification problem or multi-label classification

I want to build a model to support decision making in order to propose or not loan insurance to clients. Because sometimes clients asking loan and loan insurance have less chance to have their loan ...
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1answer
57 views

Strategy to label stock prices

Suppose I have the prices of an action XXXX at the second for three years. I want to use the data to train my Deep Neural Network model for standard day trading purposes (i.e. High Frequency Trading). ...
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1answer
15 views

How to give user defined labels to data extracted from web

I have built a web scraper to extract data from a site so that it can later be translated/transliterated. I traversed every branch of the HTML tree to extract every string and its raw path along with ...
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1answer
385 views

Supervised learning: setting labels on sliding windows of sensor data

Suppose that I have a set of accelerometer data collected with one sensor and one label for each measured data point. These labels describe different states of my system e.g., $state_A, state_B, ...
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1answer
40 views

What kind of algorithm can perfom classification / regression on numerically ordered and bucketized values

I have a dataset which is labelled with bucketized numerical values. (0-2, 3-8 ... for example). I can transform these values into their centroid and perform a regression but I think the best would ...
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0answers
537 views

Medium Frequency Trading - Better labelling strategy?

The mid-price at time $t$ is denoted by $$p_t = \frac{s_t^{a,1} + s_t^{b,1}}{2}.$$ This mid-price can evolve in minimum increments of half a tick but is almost always observed to move at ...
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0answers
17 views

How to train NN if training data has skewed distribution?

I would like (to try) to train a NN to predict the outcome, given the initial condition. For simplicity lets assume there are 100 input parameters which can cause either OutcomeA or OutcomeB. Because ...
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0answers
26 views

Best labelled dataset for training a binary image classifier

I want to train some binary classifiers in Keras (e.g. to decide if there is person on a picture or if there is a vehicle on it). What is the best dataset to use for this? I mean datasets like these. ...
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0answers
12 views

How does one trade off quantity of labels for accuracy of labels

I'm working on the problem of automatically labeling groupings in music. In this domain, there's label at each time step indicating whether a group starts at this time step. However, labels are ...
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0answers
55 views

How to evaluate a Classifier model against the Ground Truth with missing labels?

I want to evaluate my classifier model (Facebook FastText) against the ground truth. My dataset has two labels let's say A and <...
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0answers
393 views

Which cost function to use for float labeling?

I'm using TensorFlow to label time series using an LSTM, such that the labels to attribute to each timestep in the data are floats comprehended between -1 and +1. I'm struggling to find an adequate ...
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0answers
56 views

Detecting label errors using a classifier in scene labeling

I have a classifier for two classes that was trained in a convolutional neural network using cuda-convnet. Input are hand-labeled greyscale images, it is part of a scene-labeling project. What I'm ...
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0answers
7 views

can I propgate machine learning lables in that way?

I have a golden data that I used to build prediction models and then I evaluate the model at the 20% of that golden data and the accuracy is almost excellent. Now, I am planning to use these ...
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0answers
3 views

What is the best image labelling tool with these features?

I need an image labeling tool that has the following features: Upload images on the fly (via API or something) I want to compare specific pairs of images, and indicate if they are the same, or not ...
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0answers
26 views

How to add proper labels to sarima.for plot?

I am doing some prediction on time series with the astsa package, using the sarima.for() function. The plotting is fine, but I am not sure how to add proper x-y ...
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0answers
16 views

Factor Graphs for Distant Supervision

Are factor graphs the state-of-the-art for relation classification with distant supervision? It seems to be the original way (Riedel et al 2010) of dealing with wrong relation mentions. Is it still ...
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0answers
8 views

How to automate the creation of multi-class target labels?

I am trying to design a modelling framework which can be completely automated. The approach involves automatic creation of features, multi-class target labels and a supervised learning model $M$. In ...
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36 views

Should you reshuffle your dataset after you use five or ten crop data augmentation in general machine learning?

My data was shuffled randomly first then I applied a five crop data augmentation. Now my batch went from [8, 3, 256, 256] to ...
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0answers
60 views

Classification of real values

I have values of attribute between 0 and 1 which i want to predict. The distribution of values is shown in fig. I want to predict this attribute. The problem is there are around 15 classes in this ...
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0answers
721 views

Sliding window with labelled time series of sensor data

I'm using a sliding window to obtain features (like mean, varianve etc) of a labelled time series of sensor readings. The goal is to train a binary classifier (like linear regression or SVM) to detect ...