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1500 questions
6
votes
3 answers
What evaluation metric are used for sequence-to-sequence prediction problems?
I am solving many sequence-to-sequence prediction problems using RNN/LSTM.
What type of evaluation metrics can be used for sequence prediction problems?
One metric is the mean squared error (MSE) that we can give as a parameter during the training…
Asif Khan
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6
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2 answers
Are perfect and imperfect information games modelled as fully and partially observable environments, respectively?
In perfect information games, the agent can see all the moves performed in the past. Besides, it can observe the next action that will be put into practice by the opponent.
In this case, can we say that perfect information games are actually a…
Goktug
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6
votes
4 answers
Is it possible to implement Asimov's Three Laws of Robotics?
Would it be possible to put Asimov's three Laws of Robotics into an AI?
The three laws are:
A robot (or, more accurately, an AI) cannot harm a human being, or through inaction allow a human being to be harmed1
A robot must listen to instructions…
Mithical
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6
votes
1 answer
What is the formula used to calculate the loss in the FaceNet model?
The FaceNet model returns the loss of the predictions and ground-truth classes. How is this loss calculated?
TheReal__Mike
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6
votes
1 answer
Convergence of semi-gradient TD(0) with non-linear function approximation
I am looking for a result that shows the convergence of semi-gradient TD(0) algorithm with non-linear function approximation for on-policy prediction. Specifically, the update equation is given by (borrowing notation from Sutton and Barto…
srinivas tunuguntla
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6
votes
2 answers
Has machine learning been combined with logical reasoning (for example, PROLOG)?
There are mainly two different areas of AI at the moment. There is the "learning from experience" based approach of neural networks. And there is the "higher logical reasoning" approach, with languages like LISP and PROLOG.
Has there been much…
zooby
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6
votes
1 answer
Are there well-established ways of mixing different inputs (e.g. image and numbers)?
I am interested in the possibility of having extra input along with the main data. For instance, a medical application that would rely mostly on an image: how could one also account for sex, age, etc.?
It is certainly possible to put the output of…
Mathieu Bouville
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6
votes
3 answers
How do autonomous robotic vacuum cleaners perceive the environment for navigation?
How does a domestic autonomous robotic vacuum cleaner - such as a Roomba - know when it's working cleaned area (aka virtual map), and how does it plan to travel to the areas which hasn't been explored yet?
Does it use some kind of A* algorithm?
kenorb
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6
votes
1 answer
Is this idea to calculate the required number of hidden neurons for a single hidden layer neural network correct?
I have an idea to find the optimal number of hidden neurons required in a neural network, but I'm not sure how accurate it is.
Assuming that it has only 1 hidden layer, it is a classification problem with 1 output node (so it's a binary…
w13rfed
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6
votes
3 answers
Which courses in computer science and logic are relevant to Machine Learning?
Although I have a decent background in math, I'm trying to understand which courses from CS and logic to look into. My aim is to get into a Machine Learning PhD program.
stranger
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6
votes
1 answer
"AI will kill us all! The machines will rise up!" - what is being done to dispel such myths?
Science Fiction has frequently shown AI to be a threat to the very existence of mankind. AI systems have often been the antagonists in many works of fiction, from 2001: A Space Odyssey through to The Terminator and beyond.
The Media seems to buy…
Jimmery
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6
votes
4 answers
Do neurons of a neural network model a linear relationship?
I'm certain that this is a very naive question, but I am just beginning to look more deeply at neural networks, having only used decision tree approaches in the past. Also, my formal mathematics training is more than 30 years in the past, so please…
David Hoelzer
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6
votes
2 answers
Is the gradient at a layer independent of the activations of the previous layers?
Is the gradient at a layer (of a feed-forward neural network) independent of the activations of the previous layers?
I read this in a paper titled Mean Field Residual Networks: On the Edge of Chaos (2017). I am not sure how far this is true, because…
Snehal Reddy
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6
votes
1 answer
How is the distance between pointers in Stochastic Universal Sampling determined?
I'm studying about different selection methods in genetic algorithms. My question is about the Stochastic Universal Sampling (SUS) selection method. I know that each individual will occupy a segment of the line according to its fitness value and…
helen
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6
votes
2 answers
Are there any results on how difficult certain languages are to learn for chatbots?
Has there any research been done on how difficult certain languages are to learn for chatbots?
For example, CleverBot knows a bit of Dutch, German, Finnish and French, so there are clearly chatbots that speak other languages than English. (English…
wythagoras
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