# Questions tagged [machine-learning]

Questions about computer algorithms that automatically discover patterns in data and make good decisions based on them.

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### Trying to figure out the best way to approach this problem with Computer Vision

Newbie to CV here so sorry of this is basic. Here's the deal, I have a program that I run many times. and each run I produce a screenshot. I need to compare screenshots from N-1 and N runs and make ...
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### AI algorithm for matching existing commodities in kitchen with recipes

We have an idea about helping people make recipes from what they have in their pantry and refrigerator using AI. So for this idea, we're thinking the fridge takes a picture of the groceries when they ...
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### Citation Graph prediction

If I have reference section of a paper, with how much probability can I predict one of the authors of that paper ? Any recommendations on suitable algorithm to build a model are appreciated. Also how ...
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### Prophet Model in Batch Implementation

I am newby at Prophet model. I was wondering Prophet uses stochastic or batch approach while in training. If it uses stochastic that means there is nothing to do convert and compute mini batch ...
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### SMO, Random forest and Bayes net algorithms: why does Random forest perform better?

I analyzed a dataset using those 3 different algorithms. As I can see, Random forest performs better in most cases. My dataset is composed of 4000 instances of two classes (class A 2000 elements, ...
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### Papers on depth separations in neural networks

I am new to the domain of Machine learning. I have been asked to present a paper related to the mathematics behind the depth separations in Neural Networks (by Itay Safran, Ronen Eldan and Ohad Shamir)...
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### Conv Net dimensions misunderstanding?

I was asked this question: Given an image with shape [1,28,28], what will be the shape of the output of a convolution layer with 10 5x5 kernels (filters) without padding? Now, are the shape dimensions ...
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### “Reshaping” vs Polymorphism In Data Wrangling

A lot of the work in data science -- machine learning in particular --involves "reshaping" arrays, tables, and other data structures. These data transformations are not really lossy ...
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### Is MDP Considered as The Model-based Value Iteration in/of Reinforcement Learning?

Is MDP Considered as The Model-based Value Iteration in/of Reinforcement Learning? If no, then Reinforcement Learning is all about being Model-free learning. Right?
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### Why did Apple include dedicated a neural network “processor” in standard consumer products?

Not sure if this is the right place, but I guess it is better than Reddit and I couldn't find any discussion. I was wondering why Apple include a neural network "processor" and can't help ...
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### Monte Carlo tree search optimizations

I am designing a algoritm for a game using a Monte Carlo tree search AI that I implemented. I play against another player and want to get the best move. Every time I do a move I completely build a new ...
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### What is a task type?

I have an unlabeled dataset: 500 X-rays of seeds in husk. In each image there are different number of seeds, for instance, from $10$ to $50$. A seed has some features. The main features are a seeds' ...
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### Argmax in $k$-NN algorithm

Given a query instance $x_q$ to be classified Let $x_1,\ldots,x_k$ be $k$ instances which are nearest to $x_q$ $$\hat{f}(x_q) \gets \operatorname*{argmax}_{v \in V} \sum_{i=1}^k \delta(v,f(x_i)),$$ ...
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### Can the perceptron classifier achieve perfect accuracy, on any data set?

I was thinking. Since any data can become linearly seprabale through kernel methods, meaning there is a dimension where this data is linearly seprable, so feed this processed data set into the ...
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### Perceptron and non linearly seprable data

I was asked in an interview question, can a perceptron classifier ever reach 100% accuracy on some kind of non linearly seprabale training data in 2D. I said that no it can't because the data is not ...
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### Perceptron - Generalization Bounds & Compression Bounds

A distribution $P$ over $\mathbb{R}^{d} \times\{-1,+1\}$ being $(\gamma, R)$ -separable. We now let $\mathcal{P}_{\gamma}$ denote the set of all $(\gamma, 1)$ separable distributions. For a ...
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### Machine learning algorithms for recognising national anthem song of all countries

https://en.wikipedia.org/wiki/National_anthem Are there machine learning algorithms which will recognise and interpret the national anthem song of all countries? Input dataset : National anthem sound ...
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### How to predict the number of patients from the number of diagnoses

I have data on the diagnostic measures that individual patients received that year. For that individual data, I would like to make a prediction of how many such patients are in the country.　To do so, ...
22 views

### Is machine learning and AI all about pattern recognition?

I realized that machine learning and AI is mostly about spamming the auto correlation and cross correlations from mathematics and combining them with memory arrays. Is it right? What do you think ...
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### If we add a constant weight vector with an absolute function, does it still remain convex then? [closed]

We know that absolute functions are convex. Now what if we add a constant weight vector to it, does it still remain convex? Say the equation is Absolute loss regression + L1 regularization, we know ...
14 views

### Machine Learning - learning path

So I'm interested in learning Machine Learning and in specific in the Healthcare domain. But I'm so overwhelmed at the different learning paths the internet holds. Can someone help me out with how I ...
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### How to get a heatmap of pixel influences from a Convolutional Neural Network

If I have a CNN model (let's say I'm using Tensorflow and Keras) that I've trained for a particular task. For example, let's say I've trained it to detect the difference between an apple and banana. ...
25 views

### Is deepfake detection viable?

I'm thinking of doing a project on deepfake detection, but I'm not entirely sure if it is viable. Based on my understanding, how it works is that deepfake generation programs have a generative and ...
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### which neural network is good for predecting the value of strings

I have a dataset that contains some strings. A numeric value is assigned to each string. I want to develop a machine learning (deep learning) model to get a string and predict its value. What neural ...
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### How can machine learning be used in making sure a document has all the required headings and details?

We are trying to build a system that would accept fyp proposal documents and then would validate is there something missing, like a heading or a chart that should be in the document according to the ...
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### Perpendicular Training Vectors SVM

Claim: If we are training a hard-margin SVM on a set of perpendicular training vectors which can either be classified as "positive" or "negative," will every training vector end up ...
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### SGD statistical guarantee

I have a question regard online learning with SGD. Is there a way to give a statistical guarantee that the value obtained after $n$ samples deviates at most $\epsilon$ from the real value? Thank you ...
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### Comparing Directed Unweighted Graphs with Different “Densities” [closed]

I'm looking to compare 2 unweighted directed graphs and get an (ideally differentiable) similarity score. Both graphs describe a trajectory in a 2d space. The reference graph is a step by step guide ...
35 views

### Bible Verse division

I'm working on a project compiling various versions of the Bible into a dataset. For the most part versions separate verses discreetly. In some versions, however, verses are combined. Instead of verse ...
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### Signal translation with Seq2Seq model

I'm currently doing some research on signal processing and I got a dataset which includes the signal in itself and its "translation". So I want to use a Many-to-Many RNN to translate the ...
20 views

### Support Vectors SVM

I have read somewhere that the value of slack variables of support vectors is not 0. Does that mean the points lying in the wrong region e.g a positive point lying in the negative region will also be ...
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### With respect to differential privacy what should be the qlobal sensitivity for regression in non interactive mode?

I need to make a dataset differentially private on which regression, which in more general sense could be extended to learning any model, is to be performed. I need to calculate the global sensitivity ...
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### Variant of ridge regression loss function

We can create variants of the loss function, especially of ridge regression by adding more regularizer terms. One of the variants I saw in a book is given below \$min_{w \in \mathbf{R}^d} \ \ \alpha....
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### Machine Learning to draw a topology of elements

I'm exploring the idea of using machine learning to draw a topology of elements. For example, imagine a tree representing geological hierarchy (country -> province -> city). All countries are at ...
33 views

### object image segmentation

I have 2 different datasets with similar objects, one where each object is 50 pixels wide and the other where they are 150 pixels. Each photo is 512x512 for both datasets. These two datasets have the ...
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### Machine Learning algorithm for predicting a user's rating on an item?

I'm trying to build an supervised learning algorithm that deals with the regression problem of predicting a user's rating of a new incoming item based on the user's previous ratings on items. The ...