Unanswered Questions
557 questions with no upvoted or accepted answers
12
votes
2answers
747 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
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
105 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 ...
8
votes
1answer
452 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
5answers
164 views
What do we mean when we say 'intelligence'?
My question is that when we talk about artificial intelligence, human intelligence or any other form of intelligence, what do we mean by the term intelligence in a general sense?
I mean what would ...
7
votes
1answer
180 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
113 views
Deducing the features from the Data set
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 ...
7
votes
1answer
80 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 ...
6
votes
2answers
182 views
Neural network for data visualization
At my work we're currently doing some research into data visualisation for highly inter connected data, basically graphs.
We've been implementing all sorts of different layouts and trying to see ...
6
votes
0answers
263 views
Are Cellular Neural Networks (CNN) one type of Neural Networks?
I am researching Cellular Neural Networks (CNN) and have already read Chua's two articles (1988). In CNNs, a cell is only in relation with its neighbors. So its is easy to use it for real time image ...
5
votes
1answer
66 views
How does a single hidden layer neuron affect output?
I'm learning about multilayer perceptrons, and I have a quick theory question in regards to hidden layer neurons.
I know we can use two hidden layers to solve a non-linearly seperable problem by ...
5
votes
0answers
47 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 ...
5
votes
0answers
59 views
Is there a difference in the architecture of deep reinforcement learning when multiple actions are performed instead of a single action?
I've built a deep deterministic policy gradient reinforcement learning agent to be able to handle any games / tasks that have only one action. However, the agent seems to fail horribly when there are ...
5
votes
2answers
56 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 ...
5
votes
1answer
197 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 ...
