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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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149 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 ...
5
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1answer
52 views

Which marketing-related classification challenges is a feed forward neural network suited to solve?

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
31 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
57 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
249 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
87 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 ...
7
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1answer
448 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
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 ...
0
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2answers
94 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 ...
6
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2answers
96 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
45 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
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, ...
4
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3answers
96 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
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. ...
2
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1answer
55 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
125 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....
1
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1answer
71 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
75 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
71 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
125 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 ...
4
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0answers
100 views

Supervised K-means clustering doesn't appear to work

I have a data set containing actions taken by customers (e.g., view a product, add a product to cart, purchase product), the product bought (if any) and times of said actions. I am attempting to use K-...
1
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1answer
99 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 ...
2
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1answer
95 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 ...
5
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2answers
69 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
31 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 ...
1
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0answers
154 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 ...
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0answers
56 views

Learning from events. Supervised, Unsupervised or MDP?

I have a large set of simulation logs for a market simulation of which I want to learn from. The market includes: customers products (subscriptions) The customers choose products and then stick with ...
0
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1answer
67 views

How to make training data for AI

Right now I'm planning to make a DNN for classifying taste of crystals with their molecular structure which include information like no of atoms mass of each atoms atomic no of atoms. How should I ...
0
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1answer
41 views

Decision tree classifier

I have seen weka j48 classifier, I want to build a classifier similar to it but I don't know how to go about it. Can anyone advice me on how to create a classifier algorithm for decision tree?
2
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1answer
92 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 ...
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3answers
118 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 ...
1
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1answer
40 views

Improving learning rate for classification task

I am trying to perform classification task using Keras and tensorflow. However, the learning converges after achieving an accuracy of 57%. All my inputs and outputs are categorical data. Am I using ...
3
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1answer
402 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 ...
5
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1answer
128 views

Methods to tell if a question can be answered from a paragraph

I'm working on a project related to machine Q&A, using the SQuAD dataset. I've implemented a neural-net solution for finding answers in the provided context paragraph, but the system (obviously) ...
0
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1answer
94 views

Is there any research on neural networks with multiple outputs for hierarchical label classification?

I had this idea of training for example a CNN on images, and having output branches at several of its intermediate layers. The early layers' output branch might then predict high-level class of ...
5
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1answer
120 views

How do I statistically evaluate a ML model?

I have a model that predicts sentiment of tweets. Are there any standard procedures to evaluate such a model in terms of its output? I could sample the output, work out which are correctly predicted ...
6
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3answers
146 views

Is it better to make neural network to have hierchical output?

i'm quite new to neural network and i recently built neural network for number classification in vehicle license plate. It has 3 layers: 1 input layer for 16*24(382 neurons) number image with 150 dpi ,...
4
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1answer
67 views

Can I combine two classifiers that make different kinds of errors to get a better classifier?

I have a dataset with 2,23,586 samples out of which i used 60% for training and 40% for testing. I used 5 classifiers individually, SVM, LR, decision tree, random forest and boosted decision trees. ...
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 ...
6
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2answers
3k views

How to implement an “unknown” class in NN classification?

For example I need to detect classes for MNIST data. But I want to have not 10 classes for digits but also I want to have 11th class "not a digit". So that any letter (except "O" of course:) ), any ...
2
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0answers
132 views

Search minimum value with learning machine algorithm

I was wondering if its possible to classify or learn to estimate the minimum value in a table if the values are integer and represented 32 bits, and we can input all variable at the same moment like ...
6
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3answers
4k views

Binary classifier that minimizes false positive error

I have a binary classification problem, where a false positive error has a very big cost compared to the false negative error. Is there a way to design a classifier for such problems (preferably, ...
5
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2answers
849 views

Deep Learning – Classification or Regression Approach?

I am fairly new to deep learning in general and I am currently facing a problem I want to solve using neural networks and I am unsure if it is a classification or regression problem. I am aware that ...
3
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2answers
702 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 ...
1
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2answers
227 views

Is there a way to classify sounds

To classify images we are using the tensorflow incection v3 NN. Is there a similar approach to classify sounds? As for example to be able to recognize the person who is talking or classify a general ...
6
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2answers
2k views

Does data skew matter in classification problem?

I'm working on a image classification problem using neural-network. In the training data set, 90% of the samples fall into 10% of all categories, while 10% of the sample fall into the other 90% ...
3
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3answers
95 views

Method for Multi-class/category?

I am having issues getting started with a multi class problem with multiple features and hoping someone could please point me in the right direction. I have data that is structured like this for ...
2
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1answer
281 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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0answers
35 views

Detecting symmetry in small images with RNN

My network works on 32x32 normalized (translationally) but noisy images. Its task it to determine whether image has simple symmetry (horizontal/vertical). It needs to be reasonably robust to rotation (...