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.

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2
votes
1answer
204 views

Does eligibility traces and epsilon-greedy do the same task in different ways?

I understand that in Reinforcement Learning algorithms such as q-learning, to prevent selecting the actions with greatest q-values too fast and allow for exploration, we use eligibility traces. Here ...
5
votes
1answer
475 views

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 ...
10
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5answers
13k views

Using Machine/Deep learning for guessing Pseudo Random generator

Is it possible to feed a neural network, the output from a random number generator and expect it learn the hashing/generator function. So that it can predict what will be the next generated number? ...
6
votes
2answers
2k views

What is the difference between assisted and unassisted learning in relation to AI?

Is this related to supervised and unsupervised machine learning? Is it related to AI assisted human learning, and what is the distinction? Also, why is assisted machine learning seen as an ...
5
votes
3answers
214 views

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 ...
4
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1answer
236 views

Unsupervised alien natural language learning

While conducting research, I recently stumbled upon the deep learning and natural language processing concepts. In this question they say that the ‘grammar induction’ is a ‘supervised learning’ mode. ...
1
vote
1answer
357 views

Does neuroevolution require a labelled dataset?

A neuroevolution algorithm, such as DXNN, can be used to refine the topology and weights of an artificial neural network (ANN). The GA will require a fitness function, which means you need labeled ...
8
votes
5answers
4k views

Which machine learning algorithm can be used for pattern recognition?

I need a machine learning algorithm to identify any patterns in a CSV file, which contains details of a cache performance of a CPU workload. More specifically, the CSV file contains columns like ...
2
votes
2answers
76 views

Will artificial super-intelligence evolve to have selfishness inherent in biological systems?

A lot of experts have expressed concerns about evil super intelligence. While their concerns are valid, is it necessary, what are the chances or how the artificial super-intelligence will evolve to ...
5
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1answer
205 views

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, ...
2
votes
1answer
55 views

Is it possible for 'unsupervised learning' model to recognize features on unlabelled images?

Is it possible for unsupervised learning to learn about high-level, class-specific features given only unlabelled images? For example detecting human or animal faces? If so, how?
2
votes
1answer
469 views

How does an unsupervised learning model learn?

How does an unsupervised learning model learn, if it does not involve any target values?
3
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1answer
457 views

Why does unsupervised pre-training help in deep learning?

What is the effectiveness of pre-training of unsupervised deep learning? Does unsupervised deep learning actually work?