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2019-12-11

Matematiska kollokviet

Seminarium - Matematiska institutionen
Joakim Arnlind, MAI. Titel: Projective modules over the noncommutative cylinder.
Kl 13:15 - 14:15
Plats: Hopningspunkten, B-huset, ingång 23-25, plan 2, Campus Valla
För mer information se https://liu.se/artikel/matematiska-kollokviet, kontakta Anders Björn, e-post anders.bjorn@liu.se.

2019-12-12

Seminarium i optimeringslära

Seminarium - Matematiska institutionen
Kristian Lundberg, Saab AB. Titel: Supply chain and maintenance optimization in a multi-stakeholder context.
Kl 10:15
Plats: Hopningspunkten, B-huset, ingång 23-25, plan 2, Campus Valla
För mer information se https://liu.se/artikel/seminarier-i-optimeringslara, kontakta Oleg Burdakov, e-post oleg.burdakov@liu.se.

2019-12-13

Presentation av examensarbete

Seminarium - Matematiska institutionen
Carin Stjernefeldt presenterar sitt examensarbete med titeln "Enabling the future of Operational Risk Management: A research on the encoding of categorical data in supervised deep learning models". Opponent är Evelina Skinner. Sammanfattning: Non-numerical data such as names of persons, cities, brands or artifacts are common in many fields and can provide great value to different types of mathematical models. In order to use these so-called categorical values in numerical models, including most ma- chine learning methods, the information has to be re-coded into something numerically interpretable. The drawback of the most common representation technique, "one-hot-encoding", is that the dimension of the numerical representation becomes impractically large if there are many unique values involved. Since the size of the input space exponen- tially drives the model complexity, it is of interest to keep the input dense. In this study an overview of compression methods for categorical features of two types is presented; with and without loss of information. The methods have first been reviewed with respect to their fit to a data set containing transactions of financial instruments. To evaluate the effects of the methods on model performance a deep-learning classification model identi- fying risk-prone transactions was trained under the usage of the different representations. The study concludes that by grouping rarely occurring categorical values the input space can be reduced by 77,9% in comparison to a one-hot-encoding with a small negative effect on the model performance. It is also shown that the time to train a model can be signi- ficantly reduced at the price of a smaller decrease of prediction accuracy which indicates that the method can be suitable in applications with limited time or computational power.
Kl 10:15
Plats: Kompakta rummet, B-huset, ingång 23, plan 2, Campus Valla
För mer information kontakta Torkel Erhardsson, e-post torkel.erhardsson@liu.se.

Presentation av examensarbete

Seminarium - Matematiska institutionen
Herman Göransson presenterar sitt examensarbete med titeln "Completing partial latin squares with 2 filled rows and 3 filled columns". Sammanfattning: The set PLS(a, b; n) is the set of partial latin squares of order n with a completed rows and b completed columns. We identify reductions of partial latin squares in P LS(2, 3; n) by using permutations described by filled rows and intersections of filled rows and columns. We find that all partial latin squares in PLS(2, 3; n), where n is sufficiently large, can be completed if such a reduction can be completed. We also show that all elements of PLS(2, 3; n) where the intersection of filled rows and columns form a latin rectangle have completions for n greater than or equal to 8.
Kl 13:15
Plats: Kompakta rummet, B-huset, ingång 23, plan 2, Campus Valla
För mer information kontakta Carl Johan Casselgren, e-post carl.johan.casselgren@liu.se.

2019-12-18

Matematiska kollokviet

Seminarium - Matematiska institutionen
Antonio F. Costa, UNED, Madrid, Spanien. Titel: Concepts in Geometry and Topology Illustrated Using Decorations of Islamic Art.
Kl 13:15 - 14:15
Plats: Hopningspunkten, B-huset, ingång 23-25, plan 2, Campus Valla
För mer information se https://liu.se/artikel/matematiska-kollokviet, kontakta Milagros Izquierdo, e-post milagros.izquierdo@liu.se.

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