Machine learning classifying algorithm with "unknown" class
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Jun 8, 2016 · ORIGINAL ANSWER: Most classification algorithms will output a classification along with a score/certainty measure which indicates how confident ...
Jun 28, 2021 · It mainly depends on how close the "unknown" data to the "known" one is. Here are 3 potential solutions:
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Jul 6, 2021 · The standard alternative is to replace your softmax activation with logistic regression (similar to what you would do for multiclass detection).
Sep 9, 2023 · Although other methods handle unknown classes by creating new unknown classes and attempting to learn each class efficiently, the proposed m-EDL ...
An augmented unknown class is, therefore, defined to encapsulate all novel classes. The classes of interest to the LACU classification system are then given as ...
Dec 14, 2018 · How to deal with unknown classes with a neural network classifier? ... I have a small RNN with a softmax output, which succesfully classifies ...
Abstract: Detecting unknown classes in an image classification is one of the key challenges deep learning developers confront. The idea of image recognition ...
Sep 27, 2021 · If an unknown class object comes in during evaluation, there is no way for a neural network to detect that. You have two options: Adding ...
Jun 27, 2017 · This is a good question because most classification models use a softmax function over known classes to calculate class probabilities, ...
Dec 2, 2019 · I am trying to use the ResNet to classify cloud types and make some simple mobile app from it. The classifier works quite well, given decent ...