Artificial Intelligence Stack Exchange
Artificial Intelligence Stack Exchange

Questions tagged [unsupervised-learning]

For questions about AI that learns without being provided with a set of labels (expected answers) along with the set of input examples.

128 questions
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What is the difference between self-supervised and unsupervised learning?

What is the difference between self-supervised and unsupervised learning? The terms logically overlap (and maybe self-supervised learning is a subset of unsupervised learning?), but I cannot pinpoint exactly what that difference is. What are the…
Robin van Hoorn
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What are the different approaches used in Machine Learning?

There seem to be so many sub-fields, so I'm interested in getting a better understanding of the approaches. I'm looking for information on a single framework per answer, in order to allow for granularity without the overall answer getting too long.…
kakaz
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Which machine learning algorithm can be used to identify patterns in a dataset of the cache performance of a CPU?

I need a machine learning algorithm to identify patterns in a dataset (saved in a CSV file) that contains details of the cache performance of a CPU. More specifically, the dataset contains columns like Readhits, Readmiss or Writehits. The patterns…
aAAAAAAa
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Do GANs come under supervised learning or unsupervised learning?

Do GANs come under supervised learning or unsupervised learning? My guess is that they come under supervised learning, as we have labeled dataset of images, but I am not sure as there might be other aspects in GANs which might come into play in the…
codecracker
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What is the relationship between these two taxonomies for machine learning with neural networks?

Could you please let me know which of the following classification of Neural Network's learning algorithm is correct? The first one classifies it into: supervised, unsupervised and reinforcement learning. However, the second one provides a…
ebrahimi
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Which unsupervised learning technique can be used for anomaly detection in a time series?

I've started working on anomaly detection in Python. My dataset is a time series one. The data is being collected by some sensors which record and collect data on semiconductor-making machines. My dataset looks like this: ContextID Time_ms…
some_programmer
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How does the network know which objects to track in the paper "Label-Free Supervision of Neural Networks with Physics and Domain Knowledge"?

I was reading the paper Label-Free Supervision of Neural Networks with Physics and Domain Knowledge, published at AAAI 2017, which won the best paper award. I understand the math and it makes sense. Consider the first application shown in the paper…
sanjeev mk
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Has anybody tried unsupervised deep learning from youtube videos?

YouTube has a huge amount of videos, many of which also containing various spoken languages. This would presumably provide something like the data that a "challenged" baby would experience - "challenged" meaning a baby without arms or legs…
Wolphram jonny
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What is the “Hello World” problem of Unsupervised Learning?

As a followup to this question, I'm interested in what the typical "Hello World" problem (first easy example problem) is for unsupervised learning. A quick Google search didn't find any obvious answers for me.
Christian Aichinger
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Is there a machine learning algorithm to find similar sales patterns?

I have a dataset as follows (and the table extends to include an extra 146 columns for companies 4-149) Is there an algorithm I could use effectively to find similar patterns in sales from the other companies when compared to my company? I thought…
Anonymous
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Is it possible to write an adaptive parser?

I am working on a js library which focuses on error handling. A part of the lib is a stack parser which I'd like to work in most of the environments. The hard part that there is no standard way to represent the stack, so every environment has its…
inf3rno
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Is there a way to perform pattern recognition without a labeled training set?

I have a 10GB file of a time series 1D signal. I want to find some patterns within this signal, I know CNN's are great for this but the problem is I don't have any training data. Now, I could, of course, spend an entire week slowly making 100…
Kachinsky
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What makes learned feature detectors specialize in CNN?

It has been shown that it is possible to use unsupervised learning techniques to produce good feature detectors in CNNs. I can't understand what drives specialization of those feature detectors. In publications…
Andrew Butenko
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Why do Decision Tree Learning Algorithm preferably outputs the smallest Decision Tree?

I have been following the ML course by Tom Mitchel. The inherent assumption while using Decision Tree Learning Algo is: The algo. preferably chooses a Decision Tree which is the smallest. Why is this so when we can have bigger extensions of the…
imflash217
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What is the calcium equivalent role in neural networks

I understand that neural networks model biological neurons. Each node in the network represents a neuron cell and the connections between nodes represent the connections between cells. As in nature, a neuron fires an electrical signal to connected…
k rey
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