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Unanswered Questions

699 questions with no upvoted or accepted answers
12
votes
2answers
902 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 ...
10
votes
3answers
420 views

Using neural network to recognise patterns in matrices

I am trying to develop a neural network which can identify design features in CAD models (i.e. slots, bosses, holes, pockets, steps). The input data I intend to use for the network is a n x n matrix (...
10
votes
3answers
147 views

How do I select the relevant features of the data?

Recently I was working on a problem to do some cost analysis of my expenditure for some particular resource. I usually make some manual decisions from the analysis and plan accordingly. I have a big ...
10
votes
2answers
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 ...
9
votes
1answer
116 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
323 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 ...
8
votes
1answer
82 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
1answer
499 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 ...
7
votes
1answer
278 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

Measuring Soft Skill

How can we attach numerical value to the measurement of soft skill? Is there any book, site or materials that can teach me how to do this? I want to know if there is any way we can measure soft skill ...
7
votes
4answers
112 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 ...
6
votes
1answer
41 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 ...
6
votes
1answer
60 views

Can AI 'fix' heavily compessed videos/photos?

So let's say you had a really nice day in a flight simulator and you are getting videos of this type of quality: This is Full HD (1080p), but heavily compressed. You can literally see the pixels. Now ...
6
votes
0answers
64 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 ...
6
votes
3answers
85 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 ...

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