# 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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### Binary Classification- Non-Differentiable Loss Function

For binary classification using linear regression, we pass the output z of the linear regression through the sigmoid function so that if the linear regression takes an input x which should be ...
1 vote
84 views

### Initialization of embedding space value for VQ-VAE

I am trying to study a research paper about VQ-VAE: Neural Discrete Representation Learning, Aaron van den Oord, Oriol Vinyals, Koray Kavukcuoglu, NeurIPS 2017. I have difficulty to understand the ...
102 views

### A confidence interval algorithm for Disagreement coefficient

My question has to do with the disagreement coefficient in active learning. I've been trying to solve the following question, where I need an algorithm to derive a confidence interval for $\theta$, ...
173 views

### How did this work apply weakest precondition rule on their example car problem?

While reading the example given in [1]., I couldn't understand how the authors set up the logic to compute the weakest preconditions (wp) in their car example in section 4.2. The dynamics of the ...
93 views

### 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, ...
76 views

### Classification accuracy based on top 3 most likely classifications

My goal is to recommend jobs to job seekers based on their skill set. Currently I'm using an SVM for this, which is outputting one prediction, e.g. "software engineer at Microsoft". However, consider ...
1 vote
58 views

### How to convert wp equations into linear algebra equations?

I am reading this paper [1], wherein the authors first formulated a safety constraint in terms of wp equations. Then, they converted the equations into linear algebra form. As per section 4.3, their ...
74 views

### How many games will a “MENACE” tic tac toe computer take to train

I recently read about the “computer” built out of matchboxes designed by Donald Michie that could teach itself how to play tic tac toe. Here is the Wikipedia article about it: https://en.m.wikipedia....
1 vote
28 views

16 views

### Best solution architecture for: Intelligent chat to retrieve information from specific sources

I am trying to design best solution for a chat application based on LLM model which has set of functions and based on user input can retrieve the information. I would like to ask you for some ...
97 views

### 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 ...
80 views

### Mapping categorical data in K-nearest neighbour

I have a data set which contains categorical data, for example: ...
23 views

### Latent variable model from measure theory perspective

It's common in machine learning papers to see things like $p(x,z|\theta)$ or $p(x|z)$. Where $x$ is usually the data vector, $z$ the latent vector and $\theta$ the model parameter, like network ...