I have already talked about multidimensional scaling (MDS) some time ago. Back then, I only gave a rough idea about what MDS does, but I didn’t really talk much about how MDS arrives at a solution. Today, I want to follow up on this and give you some intuition about what happens behind the scenes.
Category: Conceptual spaces
Applying Logic Tensor Networks (Part 1)
In previous blog posts I have already talked about Logic Tensor Networks in general, their relation to Conceptual Spaces, and several additional membership functions that are in line with the Conceptual Spaces framework. As I already mentioned before, I want to apply them in a “proof of concept” scenario. Today I’m going to sketch this scenario in more detail.
CARLA Summer School and Workshop
It has been quite some time since my last blog post (more than two months actually!) and the question is: What has happened?
Well, CARLA has happened – an interdisciplinary and international summer school with a co-located workshop.
A hybrid way for obtaining the dimensions of a conceptual space (Part 2)
Last time, I gave a rough outline of a hybrid approach for obtaining the dimensions of a conceptual space that uses both multidimensional scaling (MDS) and artificial neural networks (ANNs) [1]. Today, I will show our first results (which we will present next week at the AIC workshop in Palermo).
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A hybrid way for obtaining the dimensions of a conceptual space (Part 1)
In earlier blog posts, I have already talked about two ways of obtaining the dimensions of a conceptual space: Neural networks such as InfoGAN on the one hand and multidimensional scaling (MDS) on the other hand. Over the past few months, in a collaboration with Elektra Kypridemou, I have worked on a way of combining these two approaches. Today, I would like to give a quick overview of our recent proposal [1].
Continue reading “A hybrid way for obtaining the dimensions of a conceptual space (Part 1)”