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# 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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55 views

### Search vs planning in artificial intelligence

I'm studying artificial intelligence following the Russell & Norvig book. We did a search and planning part that for me is the same (at least on the representation). I'd like to know what is the ...
13 views

### How does the Random Forest classification function

I was going the through Random forest classification trying to understand it and I stumbled on two equation and I was wondering if anyone knows their name. what are the names of the theorms or ...
36 views

### Introduction to computer science for ML [closed]

I have learned python syntax (from books like fluent python or python cookbook etc.) and I want to learn the underlying concepts of computer science (in an abtract way), do you have some books/courses ...
21 views

### Dimension Reduction - Which feature should remove to reduce the dimension of the matrix

Let's suppose that we have the following 2 tables: If we want to reduce the dimension by one(in every table) which feature we should remove and why ? I am confused about the way that i should work ...
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### Is it possible to compute a whole convolution layer at once?

I have an input of 32×32×3 and I want to feed it to a convolution layer that output 32×32×16 feature maps. I know that I can compute a single feature map as matrix multiplication. But my question is, ...
21 views

### Cross Entropy Function

I've seen two versions of the cross entropy cost function, and conflicting information about it. J(\theta) = -\frac{1}{N} \sum_{n=1}^N\sum_{i=1}^C y_{ni}\log \hat{y}_{n_i} (\theta)\end{...
8 views

### Simple Question About the Nature of Supervised Learning Predictive Models in Relation to their Training Data

Would a deployed or deployment-ready (i.e., already-trained) supervised learning model have a 100% accuracy rate for predictions on the training data (if you were to run the training data through it ...
6 views

### Is there any intersection in the applications of multi-agent reinforcement learning and more traditional branches of machine learning?

From my limited understanding, it seems like the structure of problems that multi agent reinforcement learning attempts to attack is quite different from the structure of problems in more traditional ...
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### Linear regression: not noramalising by y's norm

I was recently reading an article on Pearson correlation, and OLS coefficients. I came across the following section. Finally, these are all related to the coefficient in a one-variable linear ...
42 views

### What is the best algorithm known to learn the regular expression from a set of positive examples?

I have a blackbox program that generates a set of strings. What is the best regular expression learner that I can use to learn (approximate) what the blackbox program uses as a generator? Note that I ...
15 views

### maximum tensor rank for computer vision tasks

Most computer vision tasks do not require 4+ ranked tensors. Are there any use cases for tensors with ranks more than 4 in computer vision? Are there any use cases for deep learning in general?
28 views

### Prior probability in HMM

This is the HMM model considered in the question And this is the emission probabilities for the respective states. There are two emission values, bringing an umbrella and not bringing an umbrella. ...
15 views

### how can i find that the size of tree which is built by C5.0 algorithm is good?

I built C5.0 for balancing data with 16 attributes. and the size of my model is 125 and it used 15 attributes for building model.how can i find the size is good?
27 views

so most examples I've seen create two NN-s, train them, then they stack them, make the discriminator part untrainable and then train this stacked NN, why do we do this? So loss, that is calculated on ...
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### point clouds in machine learning

What is the purpose of point clouds in machine learning? Consider the following suggestion: Say I have a table (per year) of records (such as days) each of which is made of n real numbers such as ...
17 views

### how does bagof features work in MATLAB? [closed]

I tried to use machine learnign in matlab using bagoffeatures to captures features and teach the code betwee two types of plots. However, bagofFeatures could not detect ant features. this is my plot: ...
34 views

### Is there any Boosting algorithm with closed-form solutions?

My goal is to formulate the learning and generalization phases of any Boosting algorithm as a matrix-vector operation. Through Google, I found a good pdf (*) describing several boosting algorithms ...
14 views

### PCA collision - finding matrix with different numbers that reduced with PCA to same numbers

I want to find matrix X 2*2: a1 b1 a2 b2 a1!=a2 b1!=b2 so that after im applying PCA on that with number of prinicpal compoments 1 i wish to get matrix 2*1: c c i want to find collision
39 views

### What does “Temporal extent” mean?

I am reading Long-term Temporal Convolutions for Action Recognition and under the Section 3.1, I read this: To investigate the impact of long-term temporal convolutions, we here study network ...
31 views

### How do we fix area of detectors in object detection?

I have gone through various articles on medium and also some from other sites trying to understand SSD. I am able to figure out most of the things from articles except this one. They always say that ...
26 views

### Is the preprocessing process using the tfidf vectorizer really useful for model learning?

I am a student who is studying machine running alone. As far as I know, the Tf-idf Vectorizer is a function that combines the Count Vectorizer and the Tf-idf Transformer. I was wondering if the Tf-idf ...
22 views

### Is it still transfer learning if you consider input as well as output? (neural networks)

I'm new to the CS stack exchange, so a fond hello to you all! I joined since I have a question I've been curious about. I have recently been running some experiments in transfer learning - ...