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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 ...

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19 views

Machine learning approach to facial recognition

First of all i'm very new to the field. maybe my question is a bit too naive of even trivial.. I'm currently trying to understand how can i go about recognizing different faces. Here is what i tried ...
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1answer
20 views

Using unsupervised learning for classification problems

Let's say there are two types of cancer(Type 1 and Type 2). Say we want to see if one of pour friends has cancer Type 1 or 2. We can treat this as a classification problem. But what if we use ...
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1answer
23 views

Doubts at basic step of learning problem

Question: Express each of the following tasks in the framework of learning from data by specifying the input space X, output space Y, target function f:X->Y and the specifics of the data set that we ...
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0answers
31 views

Why my initial loss is bigger than the expected?

I am trying to perform a simple binary classification with a neural network on the make_moons dataset. Because of random initialization, I expect the first values to be equally splited between ...
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2answers
95 views

Measuring and Classifying human intelligence?

I have a dataset of millions of chat messages from different discussions. Some of the messages are written by people who lack understanding or relevant language skills. These messages almost always ...
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0answers
26 views

Is there any negative impact on classification model if training image data is rotated out of canvas?

Take training image classification model as an example, when there is limited amount of data, it is not uncommon to augment data by randomly rotating image data but I often see the resulting image is ...
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0answers
50 views

Why sigmoid activation function is performing better on multiclass classification problem?

I am working in Keras on a 16000 points based dataset with 60 such samples comprising of 3 classes. I am using softmax activation function for my output layer, SGD for optimizer, 2 hidden layers and I ...
4
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1answer
25 views

Class Restriction in Generative Adversarial Networks

this is my first post here. Our problem setting: We have to do a binary classification of data given a training-dataset D, where the majority of items belongs to class A and some items belong to ...
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0answers
15 views

ROC curve and Precision in Deep Learning

I am working in a deep learning project for image classification. I used Vgg16 to create the model and the dataset has 100 classes. The model accuracy is 98.9% and loss is 0.1731 And I got the ...
2
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1answer
34 views

Influence of location on a Neural Network trained for parking detection occupancy

I loaded a neural network model trained with Caffe by other people in OpenCV. The model should detect the presence of a car in a single parking spot outputting the probability of it being free/...
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0answers
18 views

Variable sized input-Multi Label Classification with Neural Network

I have a data input vector ( No Image classification) which size varys from 2 to 7 entrys. Every one of them belongs to a class Out of 7. So I have a variable Input size and a variable Output size. ...
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1answer
25 views

Recognising Noise in Simple Classification

I have created a classifier for some simple gestures using an input layer, a hidden layer with tanh activation and an output softmax layer, I'm also using the Adam optimiser. The network classifies ...
4
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1answer
44 views

How to define a loss function for a classifier where the confusion between some classes is more important than the confusion between others?

I have a dataset of images belonging to $N$ classes, $A_1, A_2...A_n,B_1,B_2...B_m$ and I want to train a CNN to classify them. The classes can be considered as subclasses of two broader classes $A$ ...
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2answers
41 views

Keras : get back labels from a model

I have a saved keras model. How can I get back the labels from the model ? Because right now, I can use the predict method to get back the probability for a sample to belong to a certain class e.g. ...
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0answers
12 views

Merge one label with one information for classification problem or multi-label classification

I want to build a model to support decision making in order to propose or not loan insurance to clients. Because sometimes clients asking loan and loan insurance have less chance to have their loan ...
2
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4answers
79 views

Using Convolutional Neural Networks for movement classification

I have programmed my first network for the MNIST dataset. I was wondering what the first approach would be to recognize certain movements. I have read about that the time dimension should be ...
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1answer
31 views

How does an svm work? How does it perform comparisons between malignant and benign tumor

How do Support Vector Machines (SVMs) differentiate between a glass and a bottle or between a malignant and a benign tumor when it dealing with it for the first time? What will be the analysis ...
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1answer
35 views

Using 3D Points as Inputs to a Neural Net

I am currently looking to use a neural network to classify gestures. I have a series of Dx,Dy,Dz readings that represent the differences across the three axes made during the gesture. About 10 ...
3
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1answer
29 views

Which marketing related classifictation challenges is a feed forward neural network suited to sovle?

I am trying to think of some marketing related classification challenges that a feed forward neural network would be suited for. Any ideas?
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1answer
25 views

How to design a classifier while the patterns of positive data are changing rapidly?

In some situation, like risk detection and spam detection. The pattern of Good User is stable, while the patterns of Attackers are changing rapidly. How can I make a model for that? Or which ...
2
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1answer
42 views

Should I use Monte Carlo or a classifier for this Decision Making problem?

I want to build a model to support decision making for loan insurance proposal. There are three actors in the problem: a bank, a loaner applicant (someone who ask for a loan) and a counselor. The ...
3
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1answer
73 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 ...
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0answers
28 views

Sample ML implementation model for alert classification

We have a requirement to implement AIOps (Algorithmic IT Operations) in our organisation. As part of that, we would like to start with alert classification, pattern recognition & event correlation....
3
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1answer
38 views

K-means using only certain dataframe columns [closed]

I'm using the k-means algorithm from the scikit-learn library, and the values I want to cluster are in a pandas dataframe with 3 columns: ID ...
5
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1answer
91 views

Loss function for Hierarchical Multi-label classification

I am looking to try different loss functions for a hierarchical multi-label classification problem. So far, I have been training different models or submodels like multilayer perceptron ( MLP )branch ...
2
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1answer
26 views

What's an appropriate algorithm for classification with categorical features?

My input data consists of a series of 8 integers. Each integer is a discrete token, rather than a relative numeric value (i.e. '1' and '2' are as distinct as are '1' and '100'). The output is a ...
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2answers
47 views

What kind of problem is “email text extraction”?

I need to retrieve just the text from emails. The emails can be in HTML format, and can contain huge signatures, disclaimer legalese, and broken HTML from dozens of forwards and replies. But, I only ...
5
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2answers
67 views

Why are documents kept separated when training a text classifier?

Most of bibliography consider text classification as the classification of documents. When using bag of words and bayesian classification, they usually use the statistic TFIDF, where TF normalizes the ...
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0answers
39 views

NLP for semantic retrieval

I want to use NLP for semantic retrieval. I am new to this field. Can anyone suggest toolkit or tutorial to learn and implement NLP from scratch.
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0answers
30 views

small multinomial Naive Bayes text classification probabilities

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 ...
2
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1answer
38 views

The use of classification algorithms nowdays

What is the utility today of traditional machine learning algorithms such as classification algorithms with the trend of deep learning? I mean can we still use the classification algorithms for some ...
2
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2answers
56 views

Finding the right questions to increase accuracy in classification

Lets say I have a list of 100k medical cases from my hospital, each row = patient with symptoms (such as fever , funny smell, pain etc.. ) and my labels are medical conditions such as Head trauma, ...
4
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3answers
74 views

What kind of neural network architecture do I use to classify images into one hundred thousand classes?

I have an image dataset where objects may belong to one of the hundred thousand classes. I want to know what kind of neural network architecture should I use in order to achieve this.
3
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1answer
84 views

Machine Learning - Is selected models combination good?

I've selected more than 10 discriminative (Classification) models, each wrapped with a BaggingClassifier object, optimized with a GridSearchCV, and all of them placed within a VotingClassifier object. ...
2
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1answer
37 views

If use the weights from previous iteration of a k-fold cross validation to seed a neural network classifier would I be overfitting?

As is done traditionally, I used k-fold cross validation to select and optimize the hyper parameters of my neural network classifier. When it was time to store the final model for future predictions, ...
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2answers
77 views

Question classification according to chapters

I have a corpus, say an instruction manual. The text in this manual is grouped into chapters and each chapter is split up into sections. For example, Chapter 1/Section 1, Chapter 1/Section 2 and so on....
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1answer
22 views

Decision tree: more than 2 classes, how to represent elements that are in a class vs ones that aren't?

I'm building a decision tree and would like to separate (for example) the elements that are in class 0 from those in classes 1 and 2, case in point: ...
1
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2answers
64 views

Classifying non-labeled data with high dimensionality

Disclaimer: I am a novice in the world of machine learning, so please excuse my ignorance. My dataset consists of things like age, days since last visit, etc. This information is medical related. ...
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0answers
54 views

How to implement AI/ML to classify various types of files

I am working on a task that requires me to classify a large amount of mixed files on a backup drive (more than 10 TB with more than 32 million files) based on content. The included file types are ...
2
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3answers
114 views

Can this problem be solved by AI?

I am looking in to building a kind of troubleshooting web application. It would be a form that starts with a first question. Depending on the answer, you get a follow up question and so on until the ...
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0answers
31 views

Formulating a relationship between Strings

I was asked about a problem today at work and while it is not an area of expertise I am intrigued by it. The concept is given a delimited file with the first (single) row containing column names ...
2
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0answers
71 views

Supervised K-means clustering doesn't appear to work

I have a data set containing actions taken by customers (view a product, add a product to cart, purchase product), the product bought (if any) and times of said actions and I am attempting to use K-...
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0answers
15 views

Blackbox Classification Network help

I am new to neural networks so I am sorry if the following task, I require help with, seems silly. Each test sample has input of 30 real values, some of the values may also be unknown(NaN). We dont ...
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1answer
53 views

How to refine K-means clustering on a data set?

I'm working with a data set where the data is stored in a string such as AxByCyA where A, B ...
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0answers
41 views

Why aren't neural network classifiers incentivised to just display the average of training labels?

I've been following 3Blue1Brown's neural network tutorial series and have been working on making a neural network classifier based on what I've learned. After writing all the code and debugging, I ...
2
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1answer
47 views

Is it possible to classify songs by genres based on spectrograms?

Is it possible to categories songs based on their spectrograms using image recognition or would there need to more features? I was thinking that the spectrograms might also run into problems with EDM ...
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0answers
26 views

Retraining a trained model in real-time

I have a trained CNN model which is 95% Accurate. It classifies, a family and a group of friends who are eating in a restaurant. I made two folders inside the Training and Testing set with the images ...
4
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2answers
50 views

Two data classes for a convolutional neural network, can one have a LOT more images for training than the other?

I have two classes in the training set: one that has images with a feature and the other of images without that feature. Can there be a LOT more images with "no feature" so I can fit in all possible ...
4
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1answer
27 views

Looking to build, compile, and/or find dataset for serial-parallelized code examples

I'm looking to perform two tasks: Train a classifier to classify code as serial or parallel Train a generative algorithm to generate parallel code from serial For the first task a simple scraper ...
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0answers
79 views

Fuzzy confusion matrix for fuzzy classifier

Let us suppose I have a NxN matrix and I want to classify in M classes each entry of the matrix using a fuzzy classifier. The ...