Category Archives: Machine Learning

Gemini Centre Lecture by Sigve Dreyer

Sigve Dreyer will, as part of his master of science work talk about Evolutionary Feature Selection. His work has been motivated by increasing data-dimensionality and the need to construct simple induction models. He will discuss his work on how to construct an abstract feature selection algorithm capable of using many different wrappers, and how it is tested on a wide range of datasets, revealing both it’s abilities and problems.

This lecture will take place in room 454, Friday February 28th at 12:00. The talk will last for about 30 min.

Gemin Centre Lecture by Sigve Hovda

Sigve Hovda will start as a PostDoc at IDI early 2014. Sigve has his PhD in statistics, and has been working at Verdande Technology doing pattern recognition on oil-well drilling data since 2008. He will give a gentle introduction to what he has been doing lately, more precisely on something he has called “Pseudometrics in kernel density estimation”.

This lecture will take place in room 354, Friday December 13th at 12:00. The talk will last for about 30 min.

Pizzas are served, so please tell Helge before Wednesday evening if you are attending (note that you have to fiddle around with the email address).