Home Events - OPTIMA Seminar 16 October 2024 15:30 (AEDT)

Date

Oct 16 2024

Time

AEDT AUSTRALIA
3:30 pm - 5:00 pm

Cost

$0

Seminar 16 October 2024 15:30 (AEDT)

Title: Supervised dimensionality reduction for instance space analysis

Speaker: Danielle Notice
Lancaster University

Summary:

Instance space analysis extends the algorithm selection framework by enabling the visualisation of problem instances via dimensionality reduction (DR). The lower dimensional projection can also be used as input to predict algorithm performance, or to perform algorithm selection.  In this presentation we consider two supervised DR methods – partial least squares (PLS) and linear discriminant analysis (LDA) – both as visualisation tools and for the purpose of constructing classification models for algorithm selection.

Biography:
Danielle Notice is a PhD student at the STOR-i Centre for Doctoral Training at Lancaster University. Her project is on the algorithm selection for combinatorial optimisation and is funded in part by Tesco. Her current focus is supervised dimensionality reduction techniques for algorithm selection. Danielle received a BSc in Actuarial Science from the University of the West Indies, and MSc Statistics with Data Science at the University of Edinburgh.

This event is Hybrid: Meet and greet with light afternoon tea from 15:30 with the seminar to start 16:00
Location for in person: Melbourne Connect, Level 8, Room 290-8-8109-Meeting Room, 700 Swanston Street, Carlton 

SEMINAR: WED 16 OCTOBER 2024 16:00 -17:00 (AEDT, Melbourne Time)
ZOOM MEETING ID: 873 1557 5255; PASSWORD: 778635

 

More Info

ZOOM LINK
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Date

Oct 16 2024

Location

OPTIMA, Melbourne Connect - Level 8 Meeting Room
(290-8-8109-Meeting Room)
Website
https://maps.app.goo.gl/Hz7jWwJMza2czAmp6
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