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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 recognition, phonic recognition, .

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1answer
42 views

Is there a way to understand the type of a sentence?

I am a beginner, just started studying around NLP, specifically various language models. So far, my understanding is that - the goal is to understand/produce natural language. So far the methods I ...
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0answers
13 views

Bubble Chamber Image Analysis Using Neural Network

I have a data analysis problem that I can reduce to one similar to analyzing the trajectories in the images below. These images show the tracks of subatomic particles interacting in a bubble chamber. ...
2
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1answer
36 views

Text classification task chatbot

I'm building a customer assistant chatbot in Python, so a text classification task, and I have available more or less 7 hundred sentences of average length 15 words (unbalanced class). What do you ...
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0answers
17 views

Driving behviour aggressivity

I have a project to make a classification ( scoring ) system to measure driving behaviour aggressivity using data like velocity, acceleration, weather and traffic code for speed limits according to ...
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0answers
11 views

Using image embedding at serving time with few samples

I have a model which is able to produce N_dimensional embedding vectors of images such that images related to the same class produce similar embeddings (i.e. low distance in the embedding space), like ...
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0answers
12 views

Property based clustering

I've got a challenge that feels like it should be solvable using some kind of clustering algo, but I can't get my head around how I can change the perspective such that it is solvable for such an algo....
3
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1answer
17 views

Natural language recommendation system: to pre-classify inputs or not?

Does it help to "pre-classify" natural language inputs using labeled input fields? E.g., "Who," "What," "Where," "When," "Why," "How," and "How much?" Or is a single, monolithic, free-form, long-text ...
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2answers
80 views

Can machine learning algorithms (CNNs?) be used/trained to differentiate between small differences in details between images?

I was wondering if machine learning algorithms (CNNs?) can be used/trained to differentiate between small differences in details between images (such as slight differences in shades of red or other ...
2
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2answers
36 views

Will a neural network always predict the correct label if it sees the exact same input during training and testing?

If I'm performing a text classification task using a model built in Keras, and for example, am attempting to predict the appropriate tag given a Stack Overflow question: "how to subtract 1 from an ...
3
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1answer
43 views

Why is the last layer of a DBN or DBM used for classification task?

I understand why deep generative models like DBN ( deep belief nets ) or DBM ( deep boltzmann machines ) are able to capture underlying structures in data and use it for various tasks ( ...
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0answers
44 views

Can neural networks learn to ignore an input datum?

Disclaimer: I'm not a student in computer science and most of my knowledge about ML/NN comes from YouTube, so please bear with me! Let's say we have a classification neural network, that takes some ...
0
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1answer
24 views

Beginner - Object classification data in a neural network

Imagine I wish to classify images of digits from 0-9. Let's say I have trained the network to recognise '1'. If I were to train the same network to recognise '2', wouldn't the backpropagation process ...
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1answer
548 views

TypeError: 'numpy.ndarray' object is not callable

I was trying to implement CapsuleNet for classifying some of the Native digits. All the images are RGB images and resize to ...
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1answer
31 views

Python Network for Simple Image Classification

I'm wondering if there exists a network for simple image classification. What I mean by this is if I have two image datasets, one of horses and one of zebras, I want to train off the horses and ...
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1answer
20 views

Relationship between input range and channel means, standard deviations for CNNs

So, I'm using a pretrained pnasnet5large model to do some image classification (https://github.com/Cadene/pretrained-models.pytorch/blob/master/pretrainedmodels/models/pnasnet.py) In the file, it ...
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2answers
51 views

What is the difference between imitation learning and classification done by experts?

In short, imitation learning means learning from the experts. Suppose I have a dataset with labels based on actions of experts. I use a simple binary classifier algorithm to assess whether it is good ...
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0answers
24 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
27 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 ...
0
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1answer
30 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 ...
4
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2answers
106 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 ...
4
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1answer
36 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 ...
2
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1answer
38 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
38 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
28 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
45 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
258 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
13 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 ...
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4answers
95 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
34 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
56 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
35 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?
3
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1answer
26 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
votes
1answer
49 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
121 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 ...
3
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1answer
43 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 ...
6
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1answer
184 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
116 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
54 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 ...
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2answers
78 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
35 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
61 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
80 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
41 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, ...
2
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2answers
83 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
29 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
66 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
56 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 ...
3
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3answers
119 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 ...