Questions tagged [classification]

For questions related to the placement of individual cases into categories, such as is essential in fraud detection, spam detection, quality control, prediction of user or market responses, automated organizing or indexing, assigning objects in view to types of obstacles or risks, writing or typing recognition, phonic recognition, .

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159 views

Why do I get small probabilities when implementing a multinomial naive Bayes text classification model?

When applying multinomial Naive Bayes text classification, I get very small probabilities (around $10e^{-48}$), so there's no way for me to know which classes are valid predictions and which ones are ...
2 votes
1 answer
70 views

Is there a way to update the neural network to fit the new data without the time required for retraining?

I built a basic neural network in MATLAB. The neural network classifies points on the X-Y axis system into two classes (0 and 1). (I try to get the function that represents a shape from this photo) ...
3 votes
2 answers
160 views

Which online machine learning technique to use for multi-class classification problem with multiple inputs?

I have the following problem. We have $4$ separate discrete inputs, which can take any integer value between $-63$ and $63$. The output is also supposed to be a discrete value between $-63$ and $63$. ...
1 vote
1 answer
77 views

How to define a "don't care" class in time series classification in Pytorch?

This is a theoretical question. Setup I have a time series classification task in which I should output a classification of 3 classes for every time stamp t. All ...
1 vote
0 answers
7 views

Comparing parameters of networks

Maybe this is a silly way to compare networks, but I would like to compare several networks based on the number of parameters (learnable features) needed in each one. This is with regards to signal ...
0 votes
1 answer
14 views

Do I have enough images? Fine-tuning pre-trained models for bvinary image classification

I am developing a binary image classifier, and my dataset size is of 90 images. From a theoretical point of view, are they enough for fine-tuning a pre-traiend classifier? I plan to test the models ...
1 vote
1 answer
52 views

How would the probability of a document $P(d)$ be computed in the Naive Bayes classifier?

In naive Bayes classification, we estimate the class of a document as follows $$\hat{c} = \arg \max_{c \in C} P(c \mid d) = \arg \max_{c \in C} \dfrac{ P(d \mid c)P(c) }{P(d)} $$ It has been said in ...
1 vote
1 answer
25 views

How to calculate the total number of inputs in CNN?

I search this kind of question for a while and I find many discussions involve on counting the number of parameters of a Convolutional Neural Network, but not on the inputs. Using the Fashion MNIST ...
1 vote
0 answers
19 views

How can evaluate the success of my algoritm?

A little bit of context. I have a classification algorithm based on mathematical discriminator and I am not applying any machine learning or AI technique, just moving window and several relative ...
0 votes
1 answer
35 views

How can I demonstrate a novel ML classification algorithm has value?

I designed a ML classification algorithm that's simple, efficient, and effective. It's not perfect, but seems to be widely applicable across domains. I'd like to submit it for publication, but I don't ...
1 vote
2 answers
139 views

Can maximum likelihood be used as a classifier?

I am confused in understanding the maximum likelihood as a classifier. I know what is Bayesian network and I know that ML is used for estimating the parameters of models. Also, I read that there are ...
0 votes
1 answer
11 views

How to encode both sentences and categorical data?

I have a DataFrame that contains several columns where some columns contain single words that can be category encoded since I know how many of them are there in total. However one column is an actual ...
1 vote
1 answer
20 views

Why does sklearn perceptron converge for linearly inseparable data points?

I learned that the perceptron algorithm only converges if the dataset is linearly separable. I am implementing this algorithm using scikit learn. The blue and orange points are from the training set, ...
0 votes
1 answer
17 views

classification: the label for the same input is probabilistic

In the usual classification problems, the label for the same input is usually "stable", if I have an image of a dog, then the true label for that exact input is dog every time. but for my ...
0 votes
1 answer
52 views

Multiclass Ensemble Methods with weak classifiers under 50%

Normally, when using an ensemble method, such as baggin or boosting, in binary classification, there is a reqauirment that each weak classifier have accuracy better than 50%. In the multiclass ...
0 votes
1 answer
64 views

Can I do topic classification of Arabic text (software requirements) without a training dataset?

I am trying to make a text classification for Arabic data. The problem is that there is no labeled Arabic dataset for this data. My question is then: is possible to do a classification without a ...
1 vote
1 answer
157 views

Multi label classification on non binary labels with pytorch

I am working on a project consisting of medical images and a huge dataset of multi-label and non-binary labels/outcomes ( sex, blood pressure, age and 40 more ). Would be the best approach to hard ...
1 vote
1 answer
39 views

Using convnet to classify language of text contained in images

I hope this question is not too broad or general. I have a very large set of images all of which contain text (some have more, some less). All of them have been tagged as containing, say, English text ...
0 votes
1 answer
24 views

Is My Extra Tree Classifier Model Over/Underfit?

I was playing around with some models and training them on a heart disease dataset and found my Extra Tree Classifier reported a 100% accuracy. I was shocked at first since I had never gotten a ...
1 vote
2 answers
399 views

What is the difference (if any) between semantic segmentation and multi-class, mutually exclusive classification?

Multi-class classification is simply assigning all data points into one of up to any finite number of mutually exclusive labels. I am new to the field(s) of AI/ML and I keep hearing people use the ...
0 votes
0 answers
12 views

How should I classify the genre of a youtube channel

It turns out that classifying a channel's genre isn't a simple task, as in most cases it is not specified by the content creator. To do such a task, I thought of the following pipeline: Preprocess: ...
1 vote
1 answer
73 views

Hand-Signs Recognition using Deep Learning Convolutional Neural Networks

I am developing a CNN model to recognize 24 hand-signs of American Sign Language. I have 2500 Images/hand-sign. The data split is: Training = 1250 Images/hand-sign Validation = 625 Images/hand-sign ...
1 vote
2 answers
25 views

How to properly name given type of classification problem?

What is the proper technical name of the classification problem where each data sample can be classified according to two different criteria and each of them can have two or more classes? For example ...
0 votes
1 answer
61 views

Are Neural Networks only really useful for Image Classification?

Let's say I wanted to predict whether someone was Male or Female based on what they answered to certain survey questions. I can see something like a Random Forest or KNN being useful here, but is ...
0 votes
1 answer
40 views

Should I train my network for classification on samples whose ground truth label is ambiguous?

Imagine that I am training a model to classify handwritten digits. Suppose there are some bad quality images that could be classified by a human as either 0 or 8, 1 or 7 or other commonly ...
3 votes
0 answers
77 views

Is there a measure of AI relative strength, modified by resources?

For instance, Strength/Size$\times$Speed, where size and speed refer to memory and processing. We now have very strong, narrow AI, but they tend to run on fast hardware without volume restrictions. To ...
2 votes
1 answer
257 views

What is the meaning of "easy negatives" in the context of machine learning?

What does the term "easy negatives" exactly mean in the context of machine learning for a classification problem or any problem in general? From a quick google search, I think it means just ...
0 votes
1 answer
170 views

Is a Transformer a good choice for multivariate signal classification?

I am working on a problem regarding the multi-classification of multivariate time signals. So I have multiple signals and try to train an algorithm on them. My current approach is to build a neural ...
1 vote
2 answers
83 views

Machine Learning Models for Longitudinal Data

Recently, I had the following question about supervised classification models (e.g. random forest) for longitudinal data. Suppose I have the following data about students passing a fitness test - the ...
0 votes
1 answer
28 views

How to justify the chosen neural architecture?

I had a task to implement a neural network that would carry out multiclass classification of traffic by several parameters. On the advice of colleagues, I chose the "Multilayer Perceptron" ...
0 votes
1 answer
70 views

Pattern recognition for live stream Time serie

I would like to submit you a problem with which I struggle. Suppose I have this kind of record over time in a dataframe: fig.1 If we zoom in a bit we see such shape: fig.2 We see that the general ...
0 votes
0 answers
20 views

Unsupervised classification of objects based on relationships

I have size measurements of 1000 objects, measured over time. I would like to classify the objects based on the response of their size to time using unsupervised classification. For example, the size ...
2 votes
1 answer
437 views

How to detect multiple playing cards of the same class with a neural network?

I want to train an AI to detect the class (i.e. suit and rank) of playing cards. Playing cards from different decks may use slightly different shapes or colors to represent these attributes, and I ...
1 vote
1 answer
75 views

ML model to predict timeouts

I am new to ML and am trying to build a model to predict timeouts for a website. The website is being monitored once a minute and the data consists of a timestamp and the response time in seconds. E.g....
0 votes
0 answers
22 views

How to optimize input image tensor, to best fit image classifier, for specific target class?

Assume that we got pretrained image classifier, and we want to then optimize some input image tensor for it, that for given class, the output of classifier will match. How to do this for example in ...
0 votes
1 answer
152 views

Which of the following two implementations of a Least Squares classifier in Python is correct?

I am trying to solve a classification problem by implementing the Least Squares algorithm in Python. To solve this problem, I am implementing the linear algebra formula to train the classifier, which ...
1 vote
1 answer
24 views

ML algorithm suggestion for databases that change a lot with time after model training

I have a classification problem and I'm using a logistic regression (I tested it among other models and this one was the best). I look for information from game sites and test if a user has the ...
0 votes
1 answer
154 views

Is my "Insane Mind" design for a classifier novel or effective?

This question is in relation to a previous doubt of mine : Are there neural networks where nodes are randomly selected from among a set of nodes (in random orders and a random number of times)? I have ...
6 votes
1 answer
90 views

Can training a model on a dataset composed by real images and drawings hurt the training process of a real-world application model?

I'm training a multi-label classifier that's supposed to be tested on underwater images. I'm wondering if feeding the model drawings of a certain class plus real images can affect the results badly. ...
4 votes
2 answers
164 views

How to calculate the confidence of a classifier's output?

I'm training a classifier and I want to collect incorrect outputs for human to double check. the output of the classifier is a vector of probabilities for corresponding classes. for example, [0.9,0....
3 votes
1 answer
147 views

How difficult is this sound classification?

I want a microphone to pick up sounds around me (let's say beyond a 3 foot radius), but ignore sounds made at my desk, such as the rustling of paper, clicking a mouse and typing, my hands brushing up ...
0 votes
1 answer
284 views

How to do early classification of time series event with small dataset?

I would like to build a real-time binary classifier that can predict an event of interest that is occurring as soon as it starts. These are electromyographic signals, and the event classification ...
0 votes
1 answer
105 views

Is it a good idea to overfit on a small part of your data for faster model convergence?

I working on a classification problem that needs to detect patterns on a time serie. Basically, there's a catch-all class that means "no pattern detected", the other are for the specific patterns. The ...
0 votes
1 answer
64 views

I have a 3 class classification problem. Detection of one of classes is very important. How to design the problem? one class classification or ...? [closed]

I have a 3 class classification problem. Correct detection of one of the classes is very important. How to design the problem: one class classification? a normal 3 class classification? two distinct ...
1 vote
1 answer
80 views

Handling imbalanced data with multiple targets

I have the model which has 3 outputs (it is a regression task, I have the angle of the steering wheel, brake and acceleration). I can divide my values to some smaller bins and in this way I can change ...
0 votes
1 answer
39 views

What algorithm to use to classify data by spatial relations?

Let's assume I have dataset of image-like 2D samples where values can be divided into few discrete levels (for example 1, 2, 3 and 4) like in the image below, where each color maps different value, ...
5 votes
1 answer
117 views

How to classify human actions?

I'm quite new to machine learning (I followed the Coursera course of Andrew Ng and now starting deeplearning.ai courses). I want to classify human actions real-time like: Left-arm bended Arm above ...
2 votes
1 answer
127 views

An infinite VC dimensional space vs using hierarchical subspaces of finite but growing VC dimensions

I have the following scenario. I have a binary classification problem, whose underlying function is a step function. The probability distribution of feature vectors is a uniform over the domain. Case ...
3 votes
2 answers
616 views

Alternative to sliding window neural network (was: Object detect (or) image classification at specific locations in the frame)

Recent advances in Deeplearning and dedicated hardware has made it possible to detect images with a much better accuracy than ever. Neural networks are the gold standard for computer vision ...
1 vote
1 answer
531 views

How are weights for weighted x-entropy loss on imbalanced data calculated?

I am trying to build a classifier which should be trained with the cross entropy loss. The training data is highly class-imbalanced. To tackle this, I've gone through the advice of the tensorflow docs ...

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