Unanswered Questions
882 questions with no upvoted or accepted answers
12
votes
2answers
1k views
Input/output encoding for a neural network to learn a grid-based game
I am writing a simple toy game with the intent of training a deep neural network on top of it. The games rules are roughly the following:
The game has a board made up of hexagonal cells.
Both players ...
11
votes
3answers
1k views
What are the latest methods to train a chat bot? (2017)
I would like to train a bot that uses text input, memorizes a few categories and answers questions accordingly. In addition as version 2.0, I want to make the bot to answer voice inputs as well. Which ...
10
votes
1answer
138 views
Strategic planning and multi dimensional knapsack problem
I'm trying to find a planning approach to solve a problem that attempts to model learning of new material. We assume that we only have one resource such as Wikipedia, which contains a list of articles ...
9
votes
1answer
418 views
Are Cellular Neural Networks one type of Neural Networks?
I am researching Cellular Neural Networks and have already read Chua's two articles (1988). In cellular neural networks, a cell is only in relation with its neighbors. So its is easy to use it for ...
9
votes
1answer
665 views
Intelligent vision and gestalt processing
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
2answers
130 views
What are some tactics for recognizing artificially made media?
With the growing ability to cheaply create fake pictures, fake soundbites, and fake video there becomes an increasing problem with recognizing what is real and what isn't. Even now we see a number of ...
8
votes
5answers
196 views
Is it possible for an AI to be trained on literary story/structure to generate them?
I know that one of the recent fads right now is to train a neural network to generate screenplays and new episodes of FRIENDS, THE SIMPSONS, what have you, and that's fine: it's interesting and might ...
7
votes
1answer
88 views
Are Modular Neural Networks more effective than large, monolithic networks at any tasks?
Modular/Multiple Neural networks (MNNs) revolve around training smaller, independent networks that can feed into each other or another higher network.
In principle, the hierarchical organization ...
7
votes
0answers
109 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 ...
7
votes
1answer
499 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 ...
7
votes
1answer
487 views
How to prevent overfitting in stacked models?
I understand the intuition behind stacking models in machine learning, but even after thorough cross-validation scheme models seem to overfit. Most of the models I have seen in kaggle forums are large ...
7
votes
1answer
87 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
1answer
245 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
1answer
259 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 ...
6
votes
3answers
168 views
Detect visual attention area in an image
I'm trying to detect the visual attention area in a given image and crop the image into that area. For instance, given an image of any size and a rectangle of say LxW dimension as an input, I would ...
