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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
101 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 ...
3
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3answers
126 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 ...
3
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1answer
417 views

Training a Yes/No NN for Image Classes

I am fairly a newbie to Neural Networks. I wanted to ask if it is possible to train a NN to identify only one type object? For instance, a table from a large set of images, where the NN should be ...
3
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1answer
49 views

Creating a classifier for simpler classifiers trained on few training samples

Suppose I have a classification problem with a stream of training-samples constantly arriving over time. I cannot keep all training-samples in memory, but I still want to train a classifier that will ...
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2answers
755 views

Perceptron learning algorithm: different accuracies for different training methods

So, my question is a bit theoretical. I have been trying to implement a perceptron based classifier with outputs 1 and 0 depending on the category. I have used 2 methods: The ...
3
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1answer
103 views

Extracting multiple softmax values from image

I am currently in the pre-process of starting an image classification and extraction project which needs to output multiple softmax and absolute values from a single image like such: ...
3
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1answer
2k views

Multi-label Classification with non-binary outputs

I am looking to train a dataset that would output a sequence of letters (I'm using this for peptide sequences). Since I have 22 different possibilities of amino acids, I need to output a vector that ...
3
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3answers
8k views

How to “combine” two images for CNN input (classification task)?

For a classification task (I'm showing a pair of exactly two images to a CNN that should answer with 0 -> fake pair or 1 -> real pair) I am struggling to figure out how to design the input. At the ...
3
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1answer
253 views

How do Google cars recognize the traffic signs?

The paper Multi-column Deep Neural Networks for Image Classification (pages 7-8) shows an attempt at recognizing the traffic signs, with lower error rates, by using multi-column deep neural networks. ...
3
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1answer
49 views

How do I determine the most appropriate classifier for a certain problem?

Consider a Bayesian classifier used in spam e-mail filtering. It converts an e-mail to a vector, most of the time using the bag-of-words method. Although it learns first before getting employed, it ...
3
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1answer
41 views

Decreasing Loss, Constant Accuracy

Problem Statement I've built a classifier to classify a dataset consisting of n samples and four classes of data. To this end, I've used pretrained VGG-19, pretrained Alexnet and even lenet (with ...
3
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1answer
89 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 ( ...
3
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1answer
89 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. ...
3
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1answer
89 views

What are examples of AI that use philosophy derived ontologies?

I'm looking for AI systems or natural language processors that use, in the classification and interrelation of notions/objects, some philosophical system, like basic laws of logic, Kantian or ...
3
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1answer
79 views

Using AI to interpret the nature a specific input and use the correct model

How would one go about building an AI that is capable to look at any kind of input and then identify what is the nature of this data? For example, an AI that is able to do image classification, NLP ...
3
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1answer
115 views

What is the most effective way to build a classifier?

At the moment, I am working on a project which requires me to build a naive Bayes classifier. Right now, I have a form online asking for people to submit a sentence and the subject of the sentence, in ...
3
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1answer
43 views

Can a model, retrained on images classified previously by itself, increase its accuracy?

Let's assume I have a CNN model trained to categorize some objects on the images. By using this model I find more categorized images. If I now retrain this model on data set that consists old set and ...
3
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1answer
90 views

Can I train a neural network incrementally given new daily data?

I would like to know if it was possible to train a neural network on daily new data. Let me explain this more in detail. Let's say you have daily data from 2010 to 2019. You train your NN on all of it,...
3
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2answers
93 views

How do we know the classification boundaries of the data?

Consider an image classification problem. Conceptually, we then have some high dimensional space where all the images can be represented as points, and having large enough labeled data set we can ...
3
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1answer
260 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 ...
2
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1answer
53 views

What are causative and exploratory attacks in Adversarial Machine Learning?

I've been researching Adversarial Machine Learning and I know that causative attacks are when an attacker manipulates training data. An exploratory attack is when the attacker wants to find out about ...
2
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1answer
59 views

How do I classify measurements into only two classes?

I am a member of a robotics team that is measuring the amount of reflected IR light to determine the lightness/darkness of a given material. We eventually hope to be able to use this to follow a line ...
2
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1answer
93 views

Facial recognition and classifying unknowns with neural networks

As far as I understand, neural networks aren't good at classifying 'unknowns', i.e. objects that do not belong to a learned class. But how do face detection/recognition approaches usually determine ...
2
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1answer
3k views

How to calculate entropy for an ID3 decision tree?

Wikipedia's description of entropy breaks down the formula, but I still don't know how to determine the values of X and p(x), defined as "The proportion of the number of elements in class x to the ...
2
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1answer
150 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 ...
2
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2answers
132 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....
2
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1answer
78 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: ...
2
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1answer
98 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 ...
2
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1answer
929 views

Why is the hyperbolic tangent with MSE better than the sigmoid with cross-entropy?

Usually, in binary classification problems, we use sigmoid as the activation function of the last layer plus the binary cross-entropy as cost function. However, I have already experienced (more than ...
2
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3answers
120 views

Feature Selection algorithm for a high featured data

I have a cancer patient database from mass spectrometry on patients which consists of more than half million features. My task is to apply a feature selection algorithm to extract the most relevant ...
2
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1answer
291 views

confusion matrix is useful to be applied to the result of fuzzy c means clustering or not

After obtaining the result of algorithm fuzzy c means on the iris flower data set. Results are to be checked for their correctness. So, how to derive it in matlab. I mean code for that. please suggest....
2
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1answer
492 views

Bag-of-Words (BoW) model in image detection

Any good example for Bag-of-Words (BoW) model in image retrieving? I want a simple example to understand the whole process of BoW.
2
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1answer
341 views

Can ConvNets be used for real-time object recognition from video feed?

Convolutional neural network are leading type of feed-forward artificial neural network for image recognition. Can they be used for real-time image recognition for videos (frame by frame), or it takes ...
2
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1answer
18 views

The best way of classifying a dataset including classes with high similarity?

I have a dataset which has two very similar classes (men wrestling, women wrestling). I've used InceptionV3 as a classifier to solve the problem of classifying this dataset. Unfortunately, the ...
2
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1answer
50 views

Video engagement analysis with deep learning

I am trying to rank video scenes/frames based on how appealing they are for a viewer. Basically, how "interesting" or "attractive" a scene inside a video can be for a viewer. My final goal is to ...
2
votes
1answer
14 views

Should I model a problem with quantised output as classification or regression?

Say I have some data I am trying to learn, and I'm aware that the output is quantised in some way, e.g. I can get only get discrete values (0.1, 0.2, 0.3...0.9) in a finite range. Would you treat ...
2
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1answer
57 views

Which loss function should I use for binary classification?

I plan to create a neural network using Python, Keras and TensorFlow. All the tutorials I have seen so far are concerned with image recognition. However, the goal of my program would be to take in 10+ ...
2
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1answer
29 views

How much the dialects recognition and speech recognition are relevant?

In this tutorial, they build a speech recognition model to classify a one-second audio clip as one of ten predefined words. Suppose that we modified this problem as the following: Given an Arabic ...
2
votes
2answers
123 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 ...
2
votes
1answer
44 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/...
2
votes
4answers
165 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 ...
2
votes
1answer
128 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 ...
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
votes
2answers
73 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, ...
2
votes
1answer
59 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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1answer
2k views

Tensorflow: tf.contrib.DNNClassifier(..) or tf.estimator.DNNClassifier(..) [closed]

Can someone explain the differance between tf.contrib.DNNClassifier (learn) and tf.estimator.DNNClassifier? ...
2
votes
1answer
548 views

Multi-Label Image Classification using KNN

I'm not quite sure how I should go about creating a multi-label image KNN classifier using python as a lot of the literature I have read does not explicitly explain this methodology. Specifically, I ...
2
votes
1answer
86 views

Using feature learning for a medical text classification problem [closed]

I'm currently working with the CHILDES corpus trying to create a classifier that distinguishes children whom suffer from specific language impairment (SLI) from those who are typically developing (TD)....
2
votes
1answer
72 views

Why is this ResNet50 misclassifying objects?

I'm new to Deep Learning, and I have some conceptual problems. I followed a simple tutorial here, and trained a model in Keras to do image classification on 10 classes of logos. I prepared 10 classes ...
2
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1answer
35 views

What is the best way to find the similarities between two text documents?

I would like to develop a platform in which people will write text and upload images. I am going to use Google API to classify the text and extract from the image all kinds of metadata. In the end, I ...