[Solomonov Seminar] [AI] [E389] 287. Solomonov seminar

[Mateja Skraba]

Popravek - 287. Solomonov seminar bo potekal v *Oranžni predavalnici* 
(drugo nadstropje glavne stavbe). Predavalnica je v drugem nadstropju 
glavne stavbe IJS na Jamovi 39.

--
Mateja Škraba
Jozef Stefan Institute
Artificial Intelligence Laboratory
Jamova cesta 39, 1000 Ljubljana
Slovenia
Tel: +386 40 214 982

On 27.3.2019 0:37, Marko Grobelnik wrote:
> V cetrtek, 28. marca 2019 bo ob 11h v Oranzni predavalnici (drugo 
> nadstropje glavne stavbe) 287. Solomonov seminar. Velika predavalnica 
> je v prvem nadstropju glavne stavbe IJS na Jamovi 39. Posnetki 
> preteklih seminarjev so na http://videolectures.net/solomon/
>
> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> Title: Learning in a dynamic and ever changing world
>
> Lecturer: Geoff Webb, Monash University, Australia
>
> Abstract:
>
> The world is dynamic – in a constant state of flux – but most learned 
> models are static. Models learned from historical data are likely to 
> decline in accuracy over time.  I will present our recent work on how 
> to address this serious issue that confronts many real-world 
> applications of machine learning.  Methodology: we are developing 
> objective quantitative measures of drift and effective techniques for 
> assessing them from sample data. Theory: we posit a strong 
> relationship between drift rate, optimal forgetting rate and optimal 
> bias/variance profile, with the profound implication that the 
> fundamental nature of a learning algorithm should ideally change as 
> drift rate changes. Techniques: we have developed the Extremely Fast 
> Decision Tree, a statistically more efficient variant of the 
> incremental learning workhorse, the Very Fast Decision Tree.
>
> Bio:
>
> Professor Geoff Webb is Director of the Monash University Center for 
> Data Science. He was editor in chief of the leading data mining 
> journal, Data Mining and Knowledge Discovery, from 2005 to 2014. He 
> has been Program Committee Chair of both the leading data mining 
> conferences, ACM SIGKDD and IEEE ICDM, as well as General Chair of 
> ICDM. He is a Technical Advisor to machine learning as a service 
> startup BigML Inc and to recommender systems startup FROOMLE. He 
> developed many of the key mechanisms of support-confidence association 
> discovery in the 1980s.  His OPUS search algorithm remains the 
> state-of-the-art in rule search. He pioneered multiple research areas 
> as diverse as black-box user modelling, interactive data analytics and 
> statistically-sound pattern discovery.  He has developed many useful 
> machine learning algorithms that are widely deployed.  His many awards 
> include IEEE Fellow and the inaugural Eureka Prize for Excellence in 
> Data Science (2017).
>
>
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>
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