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

Is there a concept of 'streamlining' categorisation outputs

Hear me out, let's say I've got a classification model, it works great and gives me an output like so. [1, 1, 1, 0, 1, 1, 1, ...] In my project, this would mean ...
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19 views

Is it possible To use GPT-3 with Voice Cloning To Have GPT-3 Respond In A Custom Voice? And Use In Unity 3D

I'm curious in about three things here. 1 - Is it possible to use GPT-3 along with voice cloning to have GPT-3 either respond in a custom voice or possibly create an app that can do the same sort of ...
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16 views

Can you please give me solution to this decision tree(ID3 algo) question “Construct decision tree using ID3 with following dataset” [closed]

Q.1]Construct decision tree using ID3 condisering the above training examples I'm not able to solve this plz give me solution for this, if you get it.
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How are certain machine learning models able to produce variable-length outputs given variable-length inputs?

Most machine learning models, such as multilayer perceptrons, require a fixed-length input and output, but generative (pre-trained) transformers can produce sentences or full articles of variable ...
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1answer
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When using PCA for dimensionality reduction of the feature vectors to speed up learning, how do I know that I'm not letting the model overfit?

I'm following Andrew Ng's course for Machine Learning and I just don't quite understand the following. Using PCA to speed up learning Using PCA to reduce the number of features, thus lowering the ...
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26 views

Trying to contribute to Explainable AI [closed]

Respected reader, Greetings! Backround Respected reader, Greetings! Background A few days ago, I was attending a workshop where I came across the term Explainable AI. The speaker described it in very ...
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Theoretical limits on correlation between classification algorithm performances

Are there any known theoretical bounds, or at least heuristic approaches, regarding the relation or correlation between the performances of any two different classification algorithms? For example, ...
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18 views

Adaboost - how to generate a prediction confidence interval?

I have created a simple AdaBoostRegressor (sklearn) model which is trained on a feature set $X$ to predict a variable $y$. The model can be used to create a prediction based on a feature set, however ...
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31 views

Is there any research work on known malware detection systems based on AI?

I'm working on writing an article about the possibilities of modern AI-based algorithms to produce invisible self-learning malware, that can distribute itself throughout the internet and create ...
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1answer
35 views

Is data leakage relevant when scaling across samples?

I have a question about data leakage when pre-processing data for a neural network and whether data leakage actually applies in my instance. I have variance stabilising transformed genomic data. ...
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21 views

How to make an LSTM ensemble model with different input shapes

This is what I got so far for making an lstm ensemble with one model input for each of the lstm models and for the ensemble model and it works perfectly. ...
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1answer
139 views

Will there be some promising techniques that can make AI greener and affordable in the future?

The recent advances in machine learning were mostly achieved by the hardware, and the hardware is said to continue driving the development of AI, but I was still shocked by this thread which reads ...
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32 views

Classifying generated samples with Wasserstein-GAN as real or fake

I'm quite new to GANs and I am trying to use a Wasserstein GAN as an augmentation technique. I found this article https://www.sciencedirect.com/science/article/pii/S2095809918301127, and would like to ...
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33 views

Is it okay to calculate the validation loss over batches instead of the whole validation set for speed purposes?

I have about 2000 items in my validation set, would it be reasonable to calculate the loss/error after each epoch on just a subset instead of the whole set, if calculating the whole dataset is very ...
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1answer
43 views

Can I train a DQN on the same dataset for multiple epochs?

I am trying to learn about reinforcement learning and chose the stock market to experiment with. I have minute by minute historical data on a particular stock for the past 20 years. I am using a ...
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1answer
63 views

Would it be possible to determine the dataset a neural network was trained on?

Let's say we have a neural network that was trained with a dataset $D$ to solve some task. Would it be possible to "reverse-engineer" this neural network and get a vague idea of the dataset $...
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1answer
1k views

Is there a machine learning model that can be trained with labels that only say how “right” or “wrong” it was?

I'm trying to find the name for a model that is used to output a decision (maybe something like right, left, or ...
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1answer
26 views

What approach to use for selecting one of the category according to short category text?

I need some tool to classify articles based on short category text which consists of two or three words separated by '-'. The RSS/XML tag content is for example: Foreign - News Football - Foreign I ...
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11 views

How to check if labels are multimodal for continuous data distribution

For example, If we have an object pointcloud which maps to two labels: -90 deg rotation and +90 deg rotation In general, if we have a non-functional mapping in the data (e.g. one input has two ...
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20 views

What machine learning model should I use for a random dice-based game?

Consider a game like Pig (https://en.wikipedia.org/wiki/Pig_(dice_game)), but with a few additions: namely functions of both player's score and turn number that have unique impacts on scoring. What ...
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1answer
40 views

Is it possible to use k-nearest neighbour for classification with more than two attributes?

If I were to have a dataset of 9 attributes of different types that describe current weather, such as temperature, humidity, etc., and want to classify the current weather by use of a k-NN algorithm, ...
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47 views

Can an ML model sort a random sequence of numbers from 1 to $ 2^{2^{512}} $ in our universe in infinite time?

I am pondering on the question in the title. As a human being, somehow I can sort a random sequence of numbers from 1 to $ 2^{2^{512}} $ in our universe in infinite time (But I am not sure.). Can an ...
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1answer
26 views

Number Series Continuation? [closed]

I am new to AI. I have a series of numbers ranging from x to y and I have a lot of data to train with What I am trying to do is, let's say from 0 to 1, I train it with data calculated over time and ...
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2answers
63 views

Is it possible to do face recognition with just the eyes?

Assuming the input photo is focused on a person's face, if the person is wearing a surgical mask, most face recognition software fail to identify the subject's face. Most facial landmark models are ...
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1answer
111 views

What is the difference between statistical AI and Classical AI with suitable examples? [duplicate]

What is the difference between statistical AI and Classical AI with suitable examples?
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267 views

Can ML/DL solve my classification problem?

I'm new to AI but would still like to try and get a project off the ground. I've read a lot about ML/DL the past few days but I just can't figure out if my problem can be solved with ML/DL. What I'm ...
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1answer
40 views

How to go about classifying 1000 classes?

I am trying to find research paper with theory(preferably implementation) that is about classifying 1000 (or more) classes. I have heard of an implementation, that initially clustering needs to be ...
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30 views

NN to find arbitrary transformation

Problem description I'm creating a clock with 4 seven-segment LED displays. In an effort to get more familiar with tensorflow, I figured I should try to drive this clock with use of a Neural Network. ...
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How small is small for a dataset to use cross validation?

I tend to apply a deep learning method for video action recognition on my dataset. There are ~250 videos totally. Should I use cross validation? or just normal schemem, split as train and eval sets, ...
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1answer
214 views

Are there any active areas of research in machine learning that do not involve neural networks at all?

So far, I have not been able to find many papers that do not involve neural networks, so I was hoping I can gain some insight here. Any references would be greatly appreciated.
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32 views

Accuracy goes straight for about 200 epochs then start increasing

Can anyone explain the following observation? Why did the accuracies keep to be a straight line with a very smooth decrease of loss? Is this because of the learning rate or other reasons? Some info: ...
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1answer
31 views

House price inflation modelling

I have a data set of house prices and their corresponding features (rooms, meter squared, etc). An additional feature is the sold date of the house. The aim is to create a model that can estimate the ...
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10 views

How to predict multiple set of coordinates (of bounding boxes) for signboards text localization through neural network?

I am creating a signboard translation application from scratch. I have images of signboards where there are multiple texts and I have the corresponding set of coordinates of bounding boxes for ...
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What are some of the main high level approaches to applying ML on kinematic sensor data?

I've just started a project which will involve having to detect certain events in a stream of kinematic sensor data. By searching through the literature, I've found a lot of highly specific papers, ...
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49 views

Why is my GAN more unstable with bigger networks?

I am working with generative adversarial networks (GANs) and one of my aims at the moment is to reproduce samples in two dimensions that are distributed according to a circle (see animation). When ...
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1answer
44 views

Factors that causing totally different outcomes from an exactly same model and datasets

Here is a model that trains time series data in (batch, step, features) way. I have kept the random state for train test split function the same. Every parameter below the same, running the model ...
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1answer
181 views

Why don't those developing AI Deepfake detectors use two detectors at once so as to catch deepfakes in one or the other?

Why don't those developing AI Deepfake detectors use two differently trained detectors at once that way if the Deepfake was trained to fool one of the detectors the other would catch it and vice-versa?...
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33 views

Can object detection approaches be used to solve text/detection problems?

I have been working on text detection and recognition for almost two months and new on this field. So far, I have fine-tuned, tested, and trained several text detection/recognition methods, such as ...
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44 views

Reinforcement learning and Graph Neural Networks: Entropy drops to zero

I am currently working on an experiment to link reinforcement learning with graph neural networks. This is my architecture: Feature Extraction with GCN: there is a fully meshed topology with ...
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40 views

Alpha Zero does not converge for Connect 6, a game with huge branching factor - why?

I have a problem with applying alpha zero self-play to a game (Connect 6) with a huge branching factor (30,000 on average). I have implemented the MCTS as described but I found that during the MCTS ...
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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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30 views

Is non-negative matrix factorization for machine learning obsolete?

I am taking a course about using matrix factorization for machine learning. The first thing that came into my mind is by using the matrix factorization we are always limited to linear relationships ...
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13 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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1answer
56 views

In UCB, is the actual upper bound an upper bound of an one-sided or two-sided confidence interval?

I'm a bit confused about the visualization of the upper bound (following the notation of (c.f. Sutton & Barto (2018)) $$Q_t(a)+C\sqrt{\frac{\mathrm{ln}(t)}{N_t(a)}}$$ In many blog posts about the ...
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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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1answer
40 views

What happens if there is no activation function in some layers of a neural network?

What if I don't apply an activation function on some layers in a neural network. How will it affect the model? Take for instance the following code snippet: ...
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41 views

How to train/update neural networks faster without a decrease in performance?

I noticed that there are many studies in recent years on how to train/update neural networks faster/quicker with equal or better performance. I find the following methods(except the chips arms race): ...
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13 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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1answer
60 views

Can AI be understood as a generalized statistics tool? [duplicate]

I am a (soon-to-become, to be honest) theoretical physicist. I want to learn a bit about AI. So as you know in physics we develop theories based on as few and as simple basic equations as possible ...
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3answers
99 views

How to embed/deploy an arbitrary machine learning model on microcontrollers?

Say I have a machine learning model trained on a laptop and I then want to embed/deploy the model on a microcontroller. How can I do this? I know that TensorflowLite Micro generates a C header to be ...

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