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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11 views

AI generator for imaginary street maps?

Similar to This person does not exist or This artwork does not exist, how might I go about creating a This street map does not exist, including choosing an appropriate AI model and scoping features? ...
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14 views

Nonrealtime tracking for object detection (with or without deep features)

I've been doing a search for tracking systems based on bounding box for several days (like Sort, DeepSort, Motpy, ...). But neither is nonrealtime. My problem is based on the tracking of multiple ...
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19 views

Architecture for Logistic Regression with Arbitrary Number of Options

Suppose I want to design a neural network to choose one of several mutually exclusive options. This may normally be done via logistic regression, where the input of the network would be a [batch x ...
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15 views

Low Signal-To-Noise Ratio Data Processing and Model Choices

Attached is a plot showing that y regresses on individual features: Scatter Plot And as shown, each feature has minuscule predictive power on y. I have 130 features like this, all of them are more or ...
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64 views

How to predict the best from a set of messages - best practice

Suppose I have a set of messages A,B,C,D and I want to produce the best message for a website user at a given time. For training I plan to show random users a random single message [A/B/C/D] and fill ...
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28 views

ML method for detecting which individuals are best predicted by the features

Broad question to help in finding an appropriate method. So I have a given feature set of (DNA/genetic) predictors and a group of individuals which are either cases or controls for diseaseX. While I ...
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7 views

How to classify “composite” gestures from “primitive” gestures (with IMU data)

I'm exploring this idea: I record IMU data for "primitive" gestures (up-down, left-right, diagonal, circle...) I train a classifier to classify them (on my dataset, RandomForest achieves &...
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16 views

Recommended vehicle trajectory prediction algorithms (based only on lat/lon data)?

Could you recommend me the most suitable algorithms for vehicle trajectory prediction? Although I'm studying kalman filter approaches and they are the most used, are there other common (NN, SVM, RF, ...
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17 views

What are the general inequalities needed for the logic gate perceptrons?

I'm trying to understand how the logic gates (e.g. AND, OR, NOT, NAND) can be built into single-layer perceptrons. I understand specific examples of weights and thresholds for the gates, but I'm stuck ...
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1answer
69 views

A way to leverage machine learning to reduce DFS/BFS search time on a tree graph?

I'm not very knowledgeable in this field but I'm wondering if any research or information already exists for the following situation: I have some data that may or may not look similar to each other. ...
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12 views

How to update the error on hidden nodes using back-propogation, given the error on the output nodes and weights

I'm trying to solve question 30 of this paper. The short version of the question is if someone could show me how to do this, I would appreciate it (the answer should be A; -0.0660). The long version ...
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15 views

Is there any solution to the problem of detecting whether a user is having trouble finding something while surfing a webpage?

While a user is navigating through a website, we need to detect whether the user is having trouble finding something in realtime. The output is used to trigger an event that should pop up a FAQ page ...
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23 views

How to build a commercial Image-Image search engine using LSH / Near Duplicate or some other algo on more than 20M images

TL;DR: HOW DO I APPLY LSH WITH A DEEP LEARNING MODEL TO BUILD A IMAGE-IMAGE SEARCH ENGINE ON >20M IMAGES? I want to build a system where I am helping my ...
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15 views

How do I find text ellipses using machine learning?

I need to detect text ellipses in scanned text documents. These ellipses are defined by lines next to text. Here is a sample: (This text is a training for pupils. They have to fill in the appropriate ...
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1answer
60 views

How to do early classification of time series event with small dataset?

I would like to build a real-time binary classifier that can predict an event of interest that is occurring as soon as it starts. These are electromyographic signals, and the event classification ...
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27 views

Papers on using symbolic methods as constraint on neural network?

Given a set of constraints on the input data, I am looking for papers that discuss using symbolic methods (decision trees, rule based, etc.) as a separate source of certainty in a classification task. ...
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1answer
47 views

What is “Pattern Theory”?

I came across Grenander's work "Probabilities on Algebraic Structures" recently and found that much of Grenander's work focused on what he called "Pattern Theory." He's written ...
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17 views

Is the PR AUC invariant under label flip?

The ROC-AUC curve is invariant under a flip of the labels. I don't know if it's a famous result, so I will give the proof below. My question is if the PR-AUC curve also has this property. I have not ...
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21 views

Network structure of generative model for classification

I'm trying to model a generative model for classification problem, especially aiming to solve an imbalanced data problem. However, I couldn't get intuitive understanding for generative classifier in ...
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1answer
85 views

Why does k-means have more bias than spectral clustering and GMM?

I ran into a 2019-Entrance Exam question as follows: The answer mentioned is (4), but some search on google showed me maybe (1) and (2) is equal to (4). Why would k-means be the algorithm with the ...
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14 views

Are there any good self annotating methods in machine learning

Currently I want to train a deep learning model on finger detection (drawing bounding boxes around fingers), so I haven't found an annotated dataset, so I decided to make it myself. but the number of ...
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29 views

How to deal with predictions for data outside the range of the training dataset in neural networks?

I’ve set up a neural network model to experiment with predicting foreign exchange rates based on various economic data. The model learned fine and the test data is OK ($R^2 = 0.88$). But I can't ...
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17 views

Estimating depth/perspective of image

I'd like to find a method in which the depth or perspective of an image is estimated. I imagine this could perhaps be done based on how quickly classified objects, such as cars or humans, grow or ...
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1answer
112 views

How to fill NaNs in Cross-Validation?

I have been searching this but did not find the answer, so sorry if this is a duplicated question. I was working with cross-validation, where some doubts came to my mind, and I am not sure about which ...
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24 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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36 views

Which models can I use for supervised learning with images?

I have to do a project that detects fabric surface errors and I will use machine learning methods to deal with it. I have a dataset that includes around six thousand fabric surface images with the ...
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21 views

Utilizing continuous variables in concept learning algorithms

Suppose I'm using the Spambase dataset, with 57 real continuous variables and one binary label, and I'd like to implement the Find-S or LGG or similar algorithms. How do I represent the dataset for ...
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27 views

Find repeating patterns in sequence data

I have database of sequential events for multiple animals. The events are represented by integers so it looks something like: ...
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15 views

How would named recognition and entity linking interface with subsequent machine learning model?

I have a database containing summary of the movie, the price of the movie, location, language. I would like to make a prediction on 'like' based on previous like of a user. I am wonder how the output ...
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42 views

Is the “mlpconv” layer in the “Network in Network” paper computing $1 \times 1$ convolutions or not?

I am reading the Network in Network paper. This is the equation they introduce for their mlpconv layer (equation 2 in the paper, page 3): $$ \begin{aligned} f_{i, j,...
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32 views

Transforming neural network target values before training

Consider the scenario in which I am measuring certain $f(a,x)$, which i want to be the target value for some related input $g(a,x)$. In other words, I am trying to map $$g(a,x)\Rightarrow f(a,x)$$ I ...
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44 views

How can I determine the k-NN's hyper-parameters and their range that significantly influence the outcome of classification?

Algorithm: Classification by k-nearest neighbors with Euclidean distance (neighbors.KNeighborsClassifier). Determine the important hyperparameters (2 maximum) that can significantly influence ...
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29 views

Extracting specific information from an Invoice images

Tried to extract only specific information from the images but Couldn't, We have to automate this process using this as the format of the Images keeps on changing. LinkSample data What I have Tried: <...
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33 views

Bigger models get higher losses

I'm training a model with the transformer encoder architecture on a given fixed set of data. The task I'm solving has a trivial approximation which consists in copying part of the input to the output, ...
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14 views

ML Algorithm for getting top pick in each sample

I have a dataset of streets - and each street contains several houses. ...
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1answer
41 views

What would be a typical pre-processing and data normalization pipeline for time series data (for non-linear models such as neural networks)?

I've started to work on time series. I was wondering what would be the best data normalizing and pre-processing technique for non-linear models, specifically, neural networks. One I can think of is ...
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22 views

What are some good models to use for spelling corrections?

I used OCR to extract text from an image, but there are some spelling mistakes in it : The text is as follows : ...
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35 views

linear regression using gradient decent

I am novice in machine learning and try to implement Linear regression algorithm using Gradient Descent. I am using Google Co-...
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1answer
38 views

How to use a NN for seq2seq tasks?

I am trying to make a NN(probably with dense layers) to map a specific input to a specific output (or basically sequence2sequence). I want the model to learn the relation between the sequences and ...
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2answers
37 views

How to train a model to predict the number of people at a certain bus stop before they cumulate in large numbers?

Each person probably uses an app that tracks his/her position periodically and sends it to our servers. What I want is to use these data to train a model to predict the rush hours of each bus-stop on ...
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39 views

How can I build a recommendation system that takes into account some constraints or the context?

I am building a recommendation system that recommends relevant articles to the user. I am doing this using simple similarity-based techniques (with the Jaccard similarity) using as features the page ...
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30 views

Confusion on Math Notation Definition

I attempt to understand the formulation of dictionary learning for this paper: Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution Multimodal Task-Driven ...
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2answers
137 views

How to avoid over-fitting using early stopping when using R cross validation package caret

I have a data set with 36 rows and 9 columns. I am trying to make a model to predict the 9th column I have tried modeling the data using a range of models using caret to perform cross-validation and ...
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21 views

How can I calibrate 3 cameras and track the object using only synchronized cameras feeds from all the cameras?

I have camera feed (in the form of RGB images) from 3 cameras with partially overlapping Field-of-view i.e. for the time stamp 0 to 100, I have total 300 frames or say synchronized 100 RGB frames for ...
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49 views

Logistic Regression or General Machine Learning Model using Federated Learning

Past few days I am doing some research on Federated Learning. I got many solutions with MNIST dataset using Nural Net but I am thinking to solve some common Machine Learning problem like Churn ...
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27 views

What is the best approach for phrase detection in speech audio?

I ultimately want to build an application like this: Inputs: a list of written phrases of 1-5 words each a bunch of audio files like mp3, with total duration in the 100 to 1000 hours range, and ...
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1answer
95 views

Wind speed forecasting using ARIMA model in Python3

Recently, I started working on time-series models and would mention that I am very new to python and ML as a whole. I tried to implement a time-series model on wind speed data. Being a newbie, I ...
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11 views

How to identify a certain part of a text based on some criteria given the beginning and ending info as training data?

I want to know which kind of machine learning algorithms or techniques shall I use to solve such a problem for example, I have this text below ...
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21 views

Are my agents sharing common critic in the following Multiagent DDPG implementation?

I wanted to have a common critic for all my agents so I defined it as following but because the critic will be changing while training in every iteration, I am not sure if all agents still share the ...
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34 views

Can I use the full dataset for training the CNN feature extractor?

I built a CNN model for extracting features from its dense layer. The extracted features are then used for classification using KNN and Random Forest classifier. My question is, can I use the whole ...