Unanswered Questions
1,388 questions with no upvoted or accepted answers
11
votes
3answers
864 views
What topologies are largely unexplored in machine learning?
Geometry and AI
Matrices, cubes, layers, stacks, and hierarchies are what we could accurately call topologies. Consider topology in this context the higher level geometrical design of a learning ...
10
votes
1answer
823 views
Are information processing rules from gestalt psychology still used in computer vision today?
Decades ago there were and are books in machine vision, which by implementing various information processing rules from gestalt psychology, got impressive results with little code or special hardware ...
9
votes
0answers
60 views
Will parameter sweeping on one split of data followed by cross validation discover the right hyperparameters?
Let's call our dataset splits train/test/evaluate. We're in a situation where we require months of data so we prefer to use the evaluation dataset as infrequently as possible to avoid polluting our ...
9
votes
1answer
195 views
Deep Networks and generalisation of Hopfield Networks
Hopfield Nets are able to store a vector and retrieve it starting from a noisy version of it. They do so setting weights in order to minimise the energy function when all neurons are set equal the ...
9
votes
5answers
309 views
Can an AI be trained to generate the outline of a story?
I know that one of the recent fads right now is to train a neural network to generate screenplays and new episodes of e.g. the Friends or The Simpsons, and that's fine: it's interesting and might be ...
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 ...
7
votes
0answers
78 views
Will quantum computing have any kind of effect on the development of AI?
Recently, according to some reports Google achieved something called 'Quantum Supremacy'. Whether its true or not remains to be seen.
But my question is does Quantum Computers or the principle they ...
7
votes
1answer
84 views
How does Atlas from Boston Dynamics have human-like movement?
Discussing the video More Parkour Atlas a friend asked how the robot's movement where so similar to the one from a real human and wondering how this is achieve?
To my knowledge this is not something ...
7
votes
1answer
439 views
Loss function for Hierarchical Multi-label classification
I am looking to try different loss functions for a hierarchical multi-label classification problem. So far, I have been training different models or submodels like multilayer perceptron ( MLP )branch ...
7
votes
3answers
245 views
Can some one help me understand this paragraph from Nvidia's progressive gan paper?
Furthermore, we observe that mode collapses traditionally
plaguing GANs tend to happen very quickly, over the course of a dozen minibatches. Commonly
they start when the discriminator overshoots, ...
6
votes
3answers
560 views
How to create a good fitness function?
In genetic algorithms, a function called "fitness" (or "evaluation") function is used to determine the "fitness" of the chromosomes. Creating a good fitness function is one of the challenging tasks in ...
6
votes
2answers
96 views
Why are documents kept separated when training a text classifier?
Most of bibliography consider text classification as the classification of documents. When using bag of words and bayesian classification, they usually use the statistic TFIDF, where TF normalizes the ...
6
votes
0answers
241 views
Can we use the recursive least squares as a learning algorithm to an ADALINE?
I'm new to neural network, I study electrical engineering, and i just started working with ADALINEs.
I use Matlab, and in their Documentation they cite :
However, here the LMS (least mean squares) ...
6
votes
1answer
107 views
Synapses automatically select it's neurons
I know the basics of Artificial Neural Networks. For instance; make dot product with the weights and every neuron from previous layer. Adjust the weight by error. And done, That is how I see neural ...
6
votes
3answers
89 views
How much can the addition of new features improve the performance?
How much can the addition of new features improve the performance of the model during the optimization process?
Let's say I have a total of 10 features. Suppose I start the optimisation process using ...
