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Questions tagged [machine-learning]

For questions about machine learning (ML) concepts, mathematics, research, general practice, and quality control. Machine learning is a sub-field of the broader field of artificial intelligence (AI).

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Understanding Hebb network

Can anyone help me in understanding Hebb networking and how different function like AND, OR used to solve by this network. I couldn’t understand properly through the google.
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I have a million records of duty trades between two users, need to figure out which ML to use [migrated]

I have a million records of duty trades between two users. One user drops a duty, and other user will pick it up if he/she likes it (There are 50k users in total) and anybody could pick it up, in 20 ...
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How to combine features with different temporal scale in machine learning

We have various types of data features with different temporal scale. For example, some of them describe the state per second while others may describe the state per day or per month from another ...
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2answers
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How is local minima possible in gradient descent?

Gradient descent works on the equation of mean squared error, which is an equation of a parabola $y=x^2$. We often say that weight adjustment in a neural network by gradient descent algorithm can hit ...
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1answer
61 views

What is an artificial neural network?

What is an artificial neural network in artificial intelligence? It is apparently used to find patterns in data and it is loosely inspired by human neural networks.
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10 views

Simple weakly supervised Object localizetion using keras. How to visualize the results?

I am following this link : Weakly-supervised-object-localization to create heatmap of the region in an image where the CNN looks to identify the class. As per the above mentioned repository , ...
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1answer
25 views

Does changing the order of the convolution layers in a CNN have any impact?

Could changing the order of convolution layers in a CNN improve accuracy or training time?
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2answers
64 views

What are the domains where SVMs are still state-of-the-art?

It seems that deep neural networks and other neural network based models are dominating many current areas like computer vision, object classification, reinforcement learning, etc. Are there domains ...
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Is action model learning with machine learning techniques feasible?

In the control theory, a forward model describes predicted behaviors of a system. A forward model of a car physics can calculate the position of the car with x/y value if the steering wheel is put in ...
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1answer
22 views

How should I encode a categorical input?

Let's say you have an input which can take one of 10 different unique values. How would you encode it? Have input length 10 and one-hot encode it. Have 1 input but normalise the value between the ...
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16 views

Human Pose Comparison

I'm trying to create a service which compares 2 human poses as a part of my main application. I managed to plot skeletons on the images using OpenPose. A detailed explanation of my question: I have 2 ...
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31 views

How are the weights between the input and hidden layer updated in a 3 layer neural network?

Consider a feed-forward neural network with one hidden layer. How are the weights between the input and hidden layer updated, after the weights between the hidden layer and output layer are updated?
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1answer
52 views

Why is dot product attention faster than additive attention?

In section 3.2.1 of Attention Is All You Need the claim is made that: Dot-product attention is identical to our algorithm, except for the scaling factor of $\frac{1}{\sqrt{d_k}}$. Additive ...
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What services are available for interpreting batches of text in order to determine their topic and/or summary?

I'm aware of the services from Microsoft and AWS, that may be able to used for such an application. Please let me know how these fare, and if other similar services exist elsewhere: https://azure....
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44 views

What are stable ways of doing online machine learning?

I am trying to deploy a machine learning solution online into an application for a client. One thing they requested is that the solution must be able to learn online because the problem may be non-...
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0answers
10 views

Embedding Gensim fast-text

Would you suggest to train my own Fast-text embedding using the Gensim library despite i have 1800 sentences and 2k vocabulary length? Don't you think there are too few words? or is there not a ...
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22 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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1answer
205 views

What loss function to use when labels are probabilities?

What loss function is most appropriate when training a model with target values that are probabilities? For example, I have a 3-output model. I want to train it with a feature vector $x=[x_1, x_2, \...
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10 views

How to gauge importance in random forest when there is overlap between variables

I have a dataset where I'm trying to gauge the importance of certain drivers (X and Y) over various time periods. I'd like to look at the importance of certain ranges of times, which will overlap with ...
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Evaluation metrics multi-class classification (ROC- PR curves)

Facing with a multi-class classification task, my question is: are ROC and Precision-Recall (One-vs-All-Rest) curves useful to evaluate and visualize the performance of a model? or Confusion ...
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35 views

Understanding notation of Goodfellow's GAN objective function

What is the meaning of $V(D,G)$? How do we get these expectation parts? I was trying to understand it following this article: Understanding Generative Adversarial Networks (D.Seita), but, after many ...
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1answer
21 views

Machine learning to find drivers of an event with presence-only data (no absence)

I have some ecological data on the confirmed presence of a certain animal. I have data on the: ...
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1answer
61 views

Is it possible to make a 'forked path' neural network?

I want to make a network, specifically a CNN for image recognition, that takes an input, processes it the same way for several layers, and then at some point splits before coming to two different ...
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33 views

What are the key differences between cellular neural network and convolutional neural network?

What are the key differences between cellular neural networks and convolutional neural networks in terms of working principle, implementation, potential performance, and applicability?
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1answer
23 views

How to make meaningful sentences from a set of words?

I have set of topics generated using LDA and like {code, language, test , write, function}, {class, public, method, string, int} etc and I want to make meaningful sentence/sentences from these words ...
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1answer
23 views

How do the achievements met in the gaming field (ex. AlphaGo Zero) impact other fields of application?

How can we use the ability of AlphaGo Zero computer, to do something in any other life important related field? Is it possible to make something important besides having created something so smart ...
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How do we ensure that training GANs will fall in the desirable Nash equilibrium?

One Nash equilibrium of every GANs model has is when the generator creates perfect samples indistinguishable from the training data and the discriminator just output 1 with probability 1/2. And I ...
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How to predict a preferred route based on weather and distance

I want to train a neural network to predict what my favourite home-work route will be for a particular day. I have these features for routes on a day: ...
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19 views

LDA classifier in python

I want to build LNA(linear Discriminant Analysis) classifier in python ,this is a training data and I am using this code ...
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1answer
20 views

when we stuck in gradient descent then which method will be used to reach global minima?

when there is no possibility to solve the question further with gradient descent method then which other solution is used to reach global minima?
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26 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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0answers
32 views

Algorithms to indentify people in pictures without using face recognition

There are lot of researches about face detection in pictures, but is it the only way one can say "this person I'm looking for is here in this picture"? Aren't there algorithms that you can provide ...
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1answer
20 views

At which point we have to stop post pruning in decision tree?

Post pruning is start from downward discarding subtree and include leaf node performance. so what is the best point or condition of the tree where we have to stop further pruning.
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2answers
45 views

Which algorithm should I use to map an input sentence to an output sentence?

I am new to NLP realm. If you have an input text "The price of orange has increased" and output text "Increase the production of orange". Can we make our RNN model to predict the output text? Or what ...
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1answer
37 views

What kind of functions can be used as activation functions?

I read that functions are used as activation functions only when they are differentiable. What about the unit step activation function? So, is there any other reason a function can be used as an ...
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1answer
77 views

Why isn't the reverse KL divergence commonly used in supervised learning?

Forward KL Divergence (also known as cross entropy loss) is a standard loss function in supervised learning problems. I understand why it is so: matching a known a trained distribution to a known ...
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1answer
37 views

Is back propagation applied for each data point or for a batch of data points?

I am new to deep learning and trying to understand the concept of back propagation. I have a doubt on when the back propagation is applied. Assume that I have a training data set of 1000 images for ...
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2answers
98 views

Which loss function is the brain optimizing in order to learn advanced visual skills without expert/human supervision?

In computer vision is very common to use supervised tasks, where datasets have to be manually annotated by humans. Some examples are object classification (class labels), detection (bounding boxes) ...
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21 views

Architecture and Use of Different Algorithms for Health Goal Feedback

I wanted to get some opinions from the community for a certain problem that I will be approaching. The problem is to provide feedback to a user based on a image of the upper male torso. The image ...
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11 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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2answers
40 views

Is max pooling really bad?

That has been discussion on this. Maybe from Hinton himself. And I heard that many max pooling layers have been replaced by conv layers in recent years, is that true?
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0answers
42 views

How to build a neural network that can learn to predict output images?

I am working with a dataset where each input sample is a matrix, and the output corresponding to each input is also a matrix (of shape (400, 10)). The input samples ...
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1answer
22 views

Is any classifier not subject (or less susceptible) to fooling?

Is any classifier not subject to fooling as in here? I agree that the question is related to the other one as commented by Philip. But I guess it is not completely a duplication as pointed out by ...
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How do the relative number of cells between neighboring stacked LSTM layers affect the network's behavior?

It seems that stacking LSTM layers can be beneficial for some problem settings in order to learn higher levels of abstraction of temporal relationships in the data. There is already some discussion on ...
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25 views

What methods are there to generate artificial training examples based on existing training examples?

I have a small dataset (117 training examples) and many features (4005). Each of the training examples is binary labeled (healthy / diseased). Each feature represents the connectivity between two ...
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1answer
110 views

What causes a model to require a low learning rate?

I've pondered this for a while without developing an intuition for the math behind the cause of this. So what causes a model to need a low learning rate?
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1answer
42 views

How to predict human future location?

I have billions of anonymized location coordinates of people movement collected from app. I want to improve user experience by using location data. For example identify if user is at home or at ...
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0answers
18 views

When to use which metric in machine learning?

In machine learning, there are several metrics to assess the quality of the models: accuracy, precision, recall, f measure, ROC (AUC), etc. There are cases when certain metrics are more appropriate ...
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1answer
34 views

What types of machine learning model would fit?

I am working on a supervised machine learning problem where I have more than 10 probably 50 or 100 predicting label categories. Which type of model can be used to work on this type of problem in ...
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1answer
50 views

How to detect frauds in advertising business using machine learning?

I am very beginner to this world. I still learning the basics of Machine learning and AI but i have a problem at hand and i am not sure which technique or Algorithm can be applied on it. I am working ...