Stack Exchange Network

Stack Exchange network consists of 175 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [labeling]

The tag has no usage guidance.

7
votes
2answers
2k views

Do more object classes increase or decrease the accuracy of object detection

Assume you have an object detection dataset (e.g, MS COCO or Pascal VOC) with N images where k object classes have been labeled. You train a neural network (e.g., Faster-RCNN or YOLO) and measure the ...
6
votes
1answer
892 views

Incorporate new unlabeled data into classifier trained on a small set of labeled data

I have a set of 400 labeled samples (8 numeric features) on which I trained a binary classifier. The problem I am facing is that once the classifier is shipped to the users, I will get additional ...
5
votes
1answer
65 views

Labeling a pool of unlabelled samples iteratively

Problem setting I'm faced with a problem in which we have a large set of data points (100K), all of which are still unlabelled. These are to be used as input to a binary classifier at a later point ...
3
votes
2answers
76 views

is it scientifically correct to label data by model built using golden data?

I am trying to find a labeled dataset for users profiles pictures with their personality traits scores. Unfortunately, I did not find any and therefore, I decided to crawl twitter for public users ...
3
votes
2answers
148 views

Regression algorithm on [0,1] with lots of mislabeled data

I have a training set mapping some Likert-scale variables (integers between 1 and 7, rescaled to real numbers between 0 and 1) to predict a continuous variable between 0 and 1. The data set is ...
3
votes
1answer
78 views

Logistic regression - labeling outcome by confidence of classification [closed]

We have trained our logistic regression model to classify candidates attending interviews as 'pursue' or 'fail' (two possible outcome) Now as a post prediction step, we are planning to categorise ...
3
votes
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 ...
2
votes
2answers
36 views

Features and Variables in Data Analysis

I am pretty new to machine learning and data analysis in general. I have been learning about different algorithms as part of my course. Now, I am stuck with a particular problem. I have been given a ...
1
vote
2answers
38 views

The correct title for y axis

My question is rather simple but it seems that statisticians have different views about it.. If a bar chart shows the percentage of children under 5 that had fever in the past 2 weeks by country.. ...
1
vote
1answer
50 views

What do I label the legend in this regression plot

What do I label the predicted values, or fitted model in this chart? (In the legend) Fitted model? Fit model? Predicted? Regression? What are my options? The black line and points are the actual ...
1
vote
1answer
418 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, ...
1
vote
1answer
35 views

Can we have a label as 'others' in our classifier?

I found good features for classifying my data, but there are some noisy data that I cannot find any good features to exclude them, so I want to know if it is possible to have a class as 'others' (...
1
vote
2answers
727 views

Labels for correlation coefficients

How could we attribute labels for correlation coefficients in order to facilitate reading the data specially for non-technical people or in qualitative analyses? For example: $\rho > 0.9$ - ...
1
vote
0answers
7 views

Elastic net/LASSO with soft labels

Sometimes you do not have firm Y/N labels, but e.g. 80% probability of Y as a label. E.g. this happens, if you train a model on a small amount of labelled data, predict for a large amount of ...
1
vote
0answers
19 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 ...
1
vote
0answers
27 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. ...
1
vote
1answer
573 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 ...
1
vote
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 ...
1
vote
0answers
59 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 <...
1
vote
1answer
396 views

Difference between instance-based and example-based Learning

I've read both the terms instance-based and example-based learning in some contexts, e. g. instance-based learning for label ranking and example-based for general text classification tasks. Is there ...
1
vote
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 ...
1
vote
0answers
730 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 ...
1
vote
0answers
57 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 ...
0
votes
1answer
458 views

Ground Truth vs Labels in LSTM classifications

In many papers and articles related to Recurrent Neural networks(RNN) with specific (LSTM)Long short term memory technique I have seen that in training phase labels and ground truth data are fed with ...
0
votes
1answer
25 views

Catch more information in neighbouring the 1 and -1 labels

I have labels I feed to a LSTM model. I noticed that there were to few 1s and -1s compared to the number of 0s. I have at least 99.9% of 0s and the rest are 1s and -1s. I considered using weighted ...
0
votes
0answers
13 views

Meaning of sparse annotation for images?

what is sparse annotation? Is it pixel-wise labeling for images. what are the other types of annotation?
0
votes
0answers
15 views

Median point vs. number of points

I am trying to assign a binary label to a group of 2D points. Essentially I want to know whether or not the group lies mainly within a certain region in 2D space, such as above a line. I've been ...
0
votes
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 ...
0
votes
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 ...
0
votes
0answers
30 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 ...
0
votes
1answer
29 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 ...
0
votes
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 ...
0
votes
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 ...
0
votes
1answer
47 views

How should I sample data from my dataset to be manually labeled for a SVM?

Assume I have a $2$-dimensional dataset $X=(x_1, x_2)$ where both features are not uniformly distributed over their respective ranges. I now need to select $100$ datapoints from this dataset to be ...
0
votes
0answers
10 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 ...
0
votes
0answers
39 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 ...
0
votes
1answer
58 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). ...
0
votes
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 ...
0
votes
1answer
41 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 ...
0
votes
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 ...
0
votes
1answer
2k views

Use clustering to create labels of unlabeled data and then classify a test set (available or not in the clustering)?

Let's say that I use Dynamic Time Warping (DTW) along with K-Medoids to cluster unlabeled time-series into a number of clusters. In this way, several clustering solutions in $k_i,i=[1,...,m]$ clusters ...