Group 3

3 - Peter Gabriel
2 - Supertramp
1 - Wombo

Group 4

3 - New Order
2 - Chris Izaak
1 - Gorillaz

-Txec R

Stage 13   »   Dole  ›  Belfort

Yesterdays stage included the category 1 climb Ballon d'Alsace, but the summit was 25 km before the finish, making this a perfect opportunity for a break. As a result nearly the entire peloton wanted to be in the break and many succeeded, including Philipsen who won the intsprint ahead of Pedersen and climbed to second place in the points classification before dropping back to the peloton. The strongest among the many attackers was Mauro Schmid, who beat one other rider in a sprint. More importantly for TCAT, Pidcock (REX/EVC) came in fourth, still far ahead of the GC contenders and shot to 4th place in GC as a result. No other TCAT rider made the top 20.

As a result it was a stage with for Els Talossaes Rexhital, closely followed by EVC.


Standings after stage 13:

Pos	±		Team	Pts Ove	Pts Today
1st	(=)		Els Talossaes Rexhital (REX)	5585	+329
2nd	(=)		Maritiimi-Maxhestic Mençeis (MMM)	5142	+184
3rd	(=)		Gordon Hiatus Support Team (GHS)	5039	+102
4th	(=)		Cyclohexane (CHX)	4958	+195
5th	(=)		Velociposse Florencia (VFL)	4860	+117
6th	(=)		Esqipă Velocostă (EVC)	4806	+325
7th	(=)		Cézembre Caçeirs dals Mailintzarăs (BDC)	3935	+98
8th	(=)		Cézembre Fieschā (CFA)	3499	+92
9th	(=)		Naziun Cjovani (CJO)	2929	+82

'

Today was* perhaps the toughest stage of this edition with 1 second category and 3 first category climbs, including the entirely new Col du Haag, which turned out to be quite an exciting one.

*Yeah it's already happened (spoiler). Sorry for the late stage 12 update

Stage 12  »  Circuit Nevers Magny-Cours  ›  Chalon-sur-Saône

Belated update; Thursday had another sprint that went to non-TCAT Tim Merlier for a third stage win. Olav Kooij (BDC/GHS) took second ahead of Jasper Philipsen (VFL), who was initially penalised and relegated, and later reinstated. GHST gets a third stagewin, the second in a row.

Standings after stage 12:

Pos	±		Team	Pts Ove	Pts Today
1st	(=)		Els Talossaes Rexhital (REX)	5256	+252
2nd	(=)		Maritiimi-Maxhestic Mençeis (MMM)	4958	+272
3rd	(=)		Gordon Hiatus Support Team (GHS)	4937	+335
4th	(=)		Cyclohexane (CHX)	4763	+237
5th	(=)		Velociposse Florencia (VFL)	4743	+321
6th	(=)		Esqipă Velocostă (EVC)	4481	+211
7th	(=)		Cézembre Caçeirs dals Mailintzarăs (BDC)	3837	+290
8th	(=)		Cézembre Fieschā (CFA)	3407	+114
9th	(=)		Naziun Cjovani (CJO)	2847	+95

GROUP 3
3 - Barnes & Barnes - Fish Heads
2 - Måneskin - Zitti e Buoni
1 - Peter Gabriel - Solsbury Hill

GROUP 4
3 - The Beatles - Taxman
2 - Chris Isaak - Wicked Game
1 - Gorillaz - On Melancholy Hill

GROUP 3
Ryuichi Sakamoto - Energy Flow (3)
Peter Gabriel - Solsbury Hill (2)
Måneskin - Zitti e Buoni (1)

GROUP 4
Chris Isaak - Wicked Game (3)
New Order - Blue Monday (2)
Deodato - Also sprach Zarathustra (1)

24 hours left to vote on groups 3&4

Quick note to viewers: To quote another Talossan on another party board I will ruthlessly moderate until the reins are officially handed over to the new party leader.

Be respectful or your message will be deleted without further comment.

@Tierçéu Rôibeardescù I hope you will pardon my intrusion but I wanted to express my appreciation and happiness with your revitalization of the Royal Society. It is so nice to see the recent activity!

Quote from: Sir Lüc on December 13, 2022, 11:17:58 AMAzul,

although not a Royal Society member, yesterday marked the official end of my academic career**, and I'd like to share my master's degree thesis for consumption by our scientific community. (The presentation was a bit less low-level and might have been more understandable by laypeople, but I don't have a full recording of it.)

Since my graduation coincided with Llimbaziuă, I'm extremely tempted to release at least some abridged version of it in Talossan. In the meantime though, here's the full stuff as submitted in English:

Streaming algorithms for center-based clustering in general metrics

Abstract: Center-based clustering is an important yet computationally difficult primitive in the realm of unsupervised learning and data analysis. We specifically focus on the k-median clustering problem in general metric spaces, in which one seeks to find a set of k centers, so to minimise the sum of distances from each point in the dataset to its closest center. In this thesis, we present and analyze efficient techniques to deal with the k-median clustering problem in the streaming setting – where the dataset is presented one point at a time and not accessible in its entirety* – by leveraging the dimensionality of the dataset's underlying metric space.

(*: not accessible in its entirety all at once, I should have written. Yay for writing it at some ungodly hour of the night :p)

(**: sike! in February 2023, I accepted a position as (non-postdoctoral) research fellow, so my academic career is not actually over yet.)

hi luc, under the new model of membership requirements your submitting of your this thesis qualifies you for membership in the Society, should you wish it.

@Crement Itravilatx has nominated himself as new party leader. With no other nominations before the deadline we have now moved toward a question period from members.