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1500 questions
5
votes
1 answer
Why evolutionary training of neural networks is not popular?
Evolutionary algorithms are mentioned in some sources as a method to train a neural network (finding weights, not hyperparameters). However, I have not heard about one practical application of such an idea yet.
My question is, why is that? What are…
GKozinski
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5
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2 answers
What are the advantages of the Kullback-Leibler over the MSE/RMSE?
I've recently encountered different articles that are recommending to use the KL divergence instead of the MSE/RMSE (as the loss function), when trying to learn a probability distribution, but none of the articles are giving a clear reasoning why…
razvanc92
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5
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2 answers
What is the difference between abstract, autonomous and virtual intelligent agents?
On Wikipedia, we can read about different type of intelligent agents:
abstract intelligent agents (AIA),
autonomous intelligent agents,
virtual intelligent agent (IVA), which I've found on other websites, e.g. this one.
What are the differences…
kenorb
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5
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1 answer
Is it possible to fool a facial recognition algorithm?
Assuming we're dealing with an artificial neural network (e.g. a ConvNet), which was trained by a large dataset of human faces.
Are there any known issues or challenges where facial recognition would fail? I'm not talking about covering half of the…
kenorb
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5
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1 answer
Why did AlphaGo lose its Go game?
We can read on wiki page that in March 2016 AlphaGo AI lost its game (1 of 5) to Lee Sedol, a professional Go player. One article cite says:
AlphaGo lost a game and we as researchers want to explore that and find out what went wrong. We need to…
kenorb
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5
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4 answers
Is reinforcement learning needed to create Strong AI?
By reinforcement learning, I don't mean the class of machine learning algorithms such as DeepQ, etc. I have in mind the general concept of learning based on rewards and punishment.
Is it possible to create a Strong AI that does not rely on learning…
bpachev
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1 answer
Why do zero-sum perfect information games satisfy the conditions of Von Neumann's theorem?
The Von Neumann's Minimax theorem gives the conditions that make the max-min inequality an equality.
I understand the max-min inequality, basically min(max(f))>=max(min(f)).
The Von Neumann's theorem states that, for the inequality to become an…
dontloo
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5
votes
1 answer
Is recursion used in practice to improve performance of AI systems?
Is there any methods by which artificial intelligence use recursion(s) to solve a certain issue or to keep up working and calculating?
Zoltán Schmidt
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5
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1 answer
Examples of ontologies made with AI
I'm looking for more or less successful artificial intelligence usage examples to build an ontology or rationale why it can't be done. I found a lot of articles on how to use ontologies for AI, but not succeded vice versa.
AndriuZ
- 153
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1 answer
How can thousand-robot swarm coordinate their moves without bumping into each other?
How can a swarm of small robots (like Kilobots) walking close to each other achieve collaboration without bumping into each other? For example, one study shows programmable self-assembly in a thousand-robot swarm (see article & video) which are…
kenorb
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5
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1 answer
Can exogenous variables be state features in reinforcement learning?
I have a question about state representation of Q-learning or DQN algorithm.
I'm still a beginner of RL, so I'm not sure that is it suitable to take exogenous variables as state features.
For example, in my current project, deciding to…
JH Lee
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3 answers
What should we do when we have equal observations with different labels?
Suppose we have a labeled data set with columns $A$, $B$, and $C$ and a binary outcome variable $X$. Suppose we have rows as follows:
col A B C X
1 1 2 3 1
2 4 2 3 0
3 6 5 1 1
4 1 2 3 0
Should we throw away either row 1 or row 4…
guest_guy
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5
votes
3 answers
Do specific units exists for measuring the intelligence of a machine?
We can measure the power of the machine with the number of operation per second or the frequency of the processor. But does units similar of IQ for humans exist for a AI?
I'm asking for a unit which can give countable result so something different…
latmos
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5
votes
2 answers
Is it possible to control asymptotic behaviour of neural network models?
Is it possible to specify what the asymptotic behaviour of a Neural Networks (NN) model should be?
I am thinking of a NN which tries to learn a mapping $\vec y=f(\vec x)$ with $\vec x$ a vector of features of dimension $d$ and $\vec y$ a vector of…
Ken Grimes
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5
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3 answers
What are the state-of-the-art approaches for continual learning with neural networks?
There seems to be a lot of literature and research on the problems of stochastic gradient descent and catastrophic forgetting, but I can't find much on solutions to perform continual learning with neural network architectures.
By continual learning,…
gcorso
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