Creativity in Machine Learning

01/12/2016
by   Martin Thoma, et al.
0

Recent machine learning techniques can be modified to produce creative results. Those results did not exist before; it is not a trivial combination of the data which was fed into the machine learning system. The obtained results come in multiple forms: As images, as text and as audio. This paper gives a high level overview of how they are created and gives some examples. It is meant to be a summary of the current work and give people who are new to machine learning some starting points.

READ FULL TEXT

page 2

page 3

research
01/21/2021

Effect of Deep Learning Feature Inference Techniques on Respiratory Sounds

Analysis of respiratory sounds increases its importance every day. Many ...
research
09/01/2020

Return to Bali

This paper gives an overview of the project Return to Bali that seeks to...
research
11/23/2017

Server, server in the cloud. Who is the fairest in the crowd?

This paper follows the recent history of automated beauty competitions t...
research
10/27/2008

Statistical Learning Theory: Models, Concepts, and Results

Statistical learning theory provides the theoretical basis for many of t...
research
08/07/2019

Recent Trends in Deep Learning Based Personality Detection

In the recent times, automatic detection of human personality traits has...
research
07/21/2021

Preventing dataset shift from breaking machine-learning biomarkers

Machine learning brings the hope of finding new biomarkers extracted fro...
research
01/28/2021

An Overview of Machine Learning Techniques for Radiowave Propagation Modeling

We give an overview of recent developments in the modeling of radiowave ...

Please sign up or login with your details

Forgot password? Click here to reset