Questions tagged [machine-learning]

For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.

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31 views

How to deal with large number of features for Anomaly Detection

I am trying to build anomaly detection with low false positives .Dataset that i am using is a patient health sensor data. A number of parameters from the patient's sensors are collected hourly and I ...
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22 views

Input with variable length Classification problem

I have a dataset with patient information with discrete labels (labels are stages of a particular disease) which needs to be predicted (Basically a classification problem). The data set looks ...
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40 views

How GAN generator produce integer RGB colored picture?

For traditional neural networks, I know that we can't constraint the output to be strict integers. My question is what technique does GANs use to produce integer outputs, that can be then converted to ...
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22 views

How to find difference between topics in two languages using NLP

I want to analyze queries and their differences between two different languages English and Spanish in this case. I'm aware of topic modeling. I'm in search of any corpus available or any algorithm to ...
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1answer
28 views

Train a model using a multi-column text-filled excel sheet

I have an excel sheet filled with my own personal appreciations of movies I've watched, and I want to use it to train an AI model so that it can predict if I'll like a specific movie or not, based on ...
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29 views

Regularization to enforce feature learning

Is there any research into ways to enforce feature selection across classes by network structure? Given the number of parameters in NN, even convnets are prone to over fitting. I'm curious if there ...
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27 views

Do we scale our target feature in regression problems?

I know this is a basic problem, but still could not find answer, I feel like most books/tutorials avoid talking about scaling the output feature instead they just mention scaling input features. So ...
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18 views

Why do code implementations average the loss over a batch instead of finding the expected sample of that batch (using sampling probabilities)

Usually, our training objective over a batch is written in terms of the expected value of a sample in that batch such as $objective = E_{x \sim data} * log(P(x))$ But in the code implementations, ...
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26 views

How can I find the correlation between the input and output of a neural network?

I'm trying to get a value for a correlation between a function input and its output. One brute force way to get this is to sample the entire space and find the standard deviation of the resulting ...
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21 views

Larger neural network with almost similar training and validation error as smaller network

I am building a neural network that takes as input 202 units and outputs a 200 dimension continuous variable. While trying to find the best model, one of the parameters i tune is the the number of ...
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1answer
53 views

Best ways of leveraging AI for stock market trading

What are the current popular approaches to leveraging AI for stock price prediction? It seems like there could be several approaches and problem formulations: Supervised learning: Regression: ...
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19 views

Deep Network with constraint or auxiliary features

The target of my current neural network is to predict a label. The dataset contains some features, there is a label $y_i$ in transaction $i$, indicating its classification. There is one feature $f^{i}...
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30 views

Can neural networks always be assembled like Lego blocks?

BACKGROUND Consider a supervised problem which is based on two scalar features (1) and (2) as well as a third, "time-dependent", feature consisting of a sequence of five values (3)-(7). For ...
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55 views

How can I group the entries of the network traffic by their similarity?

I have the traffic of my network (with hundreds of entries). Below I am showing only 9 entries. ...
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33 views

How to convert something to vectors

I wanted to create an encoder, which is the first part of an autoencoder. I do not want to build the whole autoencoder but rather wanted to test whether my mobile device can support running an encoder ...
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25 views

What are the best human re-identification methods available?

I have a use case where I need to detect, track and re-identify humans in CCTV footage. I have usedSSD and Median Flow to detect ...
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22 views

AI for creating random 2D contour lines based on learnt images

I am new to AI and want to expand into this field. For our software we often could use a virtual device which generates 2D point data (a contour of some assembly part). Hypothetically using a set of ...
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24 views

Understanding an extract on the motivation behind residual networks

I was reading about ResNets from this page, and I couldn't understand the following extract, about the motivation behind ResNets: "Since neural networks are good function approximators, they ...
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14 views

How can I perform object detection by cutting the image into many pieces each containing one object?

Our task is to do a special object detection: In the traditional case, the neural network will output some rectangle bounding boxes. But in our case, the network should output many nearly-vertical ...
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20 views

Computing latent representation for multi-domain regression/classification

Suppose I have a dataset with (X, Y) training samples where X is a 1 dimension, and Y is also 1 dimension. Example: if this is a housing price dataset, X would be an area in square feet, and Y would ...
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34 views

Semi-supervised: Can I predict the label of purposely unlabelled observations?

Let's say I have a data set with of length N. A small proportion N2 is labeled. Can I remove some labels and then 'reverse' this action with a trained neural network? I could then use the same process ...
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15 views

What will be the sequence of steps in a human activity recognition model using LSTM?

In the context of these steps detection, tracking, action classification and activity recognition. Which step will be first and further sequence?
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14 views

Architecture of the encoder in a Bi-GAN?

I know this is a subjective question, but I was thinking how does one decide on their encoder architecture in the case of Bi-directional GANs. The first idea coming to my mind is basically mirroring ...
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13 views

Why would the application of kernelization prevent underfitting

"Why would the application of kernelization prevent underfitting" I read in some paper that applying kernelization would prevent you from underfitting. Why is that? Source: http://www.cs.cornell.edu/...
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25 views

Model training with colored images instead of grayscale

I'm new to Python and Deep Learning with Keras. With some tutorials online for cat vs non-cat classification, I was able to compile this simple training code for my ...
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4answers
104 views

How can I remove the noise from an EEG signal?

I am working on a project that takes signals from the brain and preprocesses them and then makes the machine learn about what human is thinking about. But I am struck in preprocessing of signal (...
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44 views

Is federated learning a privacy breach?

Is federated learning a privacy breach, given that the model transmission, for a period of time, may cause the adversarial to reach and manipulate the model and the data?
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1answer
80 views

Real time ticket similarity

I'm dealing with a "ticket similarity task". Every time new tickets arrive at the help desk (customer service), I need to compare them and find out about similar ones. In this way, once the operator ...
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83 views

How to build naive bayes graph from data

For an university assignment I have to use the HuginLite software to do some probabilistic inferences with different algorithms. One of these algorithms is Naive Bayes but its graph is not built ...
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2answers
43 views

How can I cluster based on the complementary categories?

K-means tries to find centroid and then clusters around the centroids. But what if we want to cluster based on the complement? For example, suppose we have a group of animals and we want to cluster ...
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33 views

Is predicting day of week straight forward?

I am using python and Xgboost. I have features: activity and location and time stamps of when the activity occurred. I want to predict day of week. Is this straight forward, ie y=day of week, X={...
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2answers
614 views

Examples of Rote Learning in AI

What can be the examples of Rote Learning in Artificial Intelligence to understand it more easily? Any references are appreciated.
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41 views

How do I create syntactically correct sentences given several words?

Is there an AI application that can produce syntactically (and semantically) correct sentences given a bag of words? For example, suppose I am given the words "cat", "fish", and "lake", then one ...
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35 views

How can the bias and the coefficient be calculated in logistic regression?

How can the bias, $b_0$, and the coefficient for the single input value, $b_1$, be calculated in logistic regression? I am trying to calculate these coefficients with pure Python. Can anybody ...
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16 views

Denoising and Improving the Quality of Scanned Books

I want to restore missing parts from a character. You can see some examples after the pages are edited with Scantailor: Note that I want to keep the same font, so I don't want just to OCR and create ...
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29 views

What are the reference papers of image captioning model 'all_img', 'att2in2', 'adaattmo' and 'topdown'?

I Want to cite the reference paper of The models appeared in this webpage: https://github.com/ruotianluo/ImageCaptioning.pytorch/blob/master/models/init.py But which papers do these four models '...
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105 views

Having trouble solving Pong. My model is not improving

Im trying to solve pong by a DQN approach. These are my hyper parameters: ...
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177 views

How to back-propagate illegal actions for policy gradient learning

When training a AI RL agent to play a game there'll be situations where the AI cannot perform certain actions lest they violate the game rules. That's easy to handle, and I can set illegal actions to ...
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86 views

Using AI to guess a mathematical pattern of certain polynomials in four variables: practical challenge

I'd like to use machine learning to guess a mathematical pattern: the input are certain polynomials in four variables $q_1,q_2,q_3,q_4$, the output can be zero or one. Allowed polynomials are such ...
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1answer
35 views

Is there a relationship between the response and predictors?

I have been reading introduction to statistical learning, and I was going through multiple linear regression. This is the topic that I'm reading: As I was reading further, I encountered an equation ...
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1answer
486 views

Machine learning to predict 8*8 matrix values using three independent matrices

Problem Statement I have 4 main input features. This is a small snippet of the data for clearer understanding. Gate name -> for example AND Gate index_1 -> ...
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1answer
80 views

multi vs one prediction using Regression

I was trying to build a prediction system where I have the input data arranged in multiple columns. The input data would be of the type where I have weather, service type (bronze, silver, gold), size(...
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15 views

Find the distance between two objects from a 45 degree tilted camera images taken from a drone with a specific elevation from the ground

I have a project where i'm supposed to find the distance and the height of a specific object in an image taken by a drone using one camera. I have looked into perspective transformation/correction but ...
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26 views

Which specific machine learning techniques are used in healthcare and medicine research?

As I know, machine learning is used in healthcare and medicine research, but which specific ML techniques are used in those fields? Please, provide a link to a research paper (or a reliable article) ...
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20 views

What would be a suitable loss function to solve the problem of partitioning an array into sub-arrays?

I have a long segment/array (e.g. 100000 samples) as input. Regardless of the method, I need to output a partition of this segment into $k$ sub-segments, which do not overlap, and whose union can but ...
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1answer
216 views

After a GAN is trained, which parts of it are used to generate new outputs from data?

After a GAN is trained, which parts of it are used to generate new outputs from data? Options are: Neither Discriminator Generator Both Generator and Discriminator
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1answer
139 views

Design ads and posters with Machine Learning

I would like to write a program that takes a number of elements as input (some images and some strings) and outputs a design (the program places the images and strings on a canvas, but also styles the ...

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