Zobrazeno 1 - 10
of 269
pro vyhledávání: '"Szczeciński, P."'
Traditional top-down robotic design often lacks the adaptability needed to handle real-world complexities, prompting the need for more flexible approaches. Therefore, this study introduces a novel cellular plasticity model tailored for bottom-up robo
Externí odkaz:
http://arxiv.org/abs/2408.05604
This work uses a statistical framework to present and evaluate the ranking algorithm that has been used by F\'ed\'eration Internationale de Volleyball (FIVB) since 2020. The salient feature of the FIVB ranking is the use of the probabilistic model, w
Externí odkaz:
http://arxiv.org/abs/2408.01603
In this work, we consider the problem of regularization in the design of minimum mean square error (MMSE) linear filters. Using the relationship with statistical machine learning methods, using a Bayesian approach, the regularization parameter is fou
Externí odkaz:
http://arxiv.org/abs/2312.06560
Autor:
Szczecinski, Leszek
Ranking is used in sport leagues to determine a champion and/or to decide on promotion/relegation of teams. Arguably, the best known ranking method relies on scores obtained by cumulating the points associated with the wins and the draws of all teams
Externí odkaz:
http://arxiv.org/abs/2303.15305
The Elo algorithm, due to its simplicity, is widely used for rating in sports competitions as well as in other applications where the rating/ranking is a useful tool for predicting future results. However, despite its widespread use, a detailed under
Externí odkaz:
http://arxiv.org/abs/2212.12015
Autor:
Szczecinski, Leszek, Sukheja, Harsh
The linear ordering problem (LOP), which consists in ordering M objects from their pairwise comparisons, is commonly applied in many areas of research. While efforts have been made to devise efficient LOP algorithms, verification of whether the data
Externí odkaz:
http://arxiv.org/abs/2208.03860
In this work we study the ranking algorithm used by F\'ed\'eration Internationale de Football Association (FIFA); we analyze the parameters it currently uses, show the formal probabilistic model from which it can be derived, and optimize the latter.
Externí odkaz:
http://arxiv.org/abs/2201.00691
Autor:
Szczecinski, Leszek, Tihon, Raphaëlle
In this work, we deal with the problem of rating in sports, where the skills of the players/teams are inferred from the observed outcomes of the games. Our focus is on the online rating algorithms which estimate the skills after each new game by expl
Externí odkaz:
http://arxiv.org/abs/2104.14012
Autor:
Karczewska, Anna, Szczeciński, Maciej
In the paper, we consider a stochastic hybrid Korteweg - de Vries - Burgers type equation with multiplicative noise in the form of cylindrical Wiener process. We prove the existence of a martingale solution to the equation studied. The proof of the e
Externí odkaz:
http://arxiv.org/abs/2101.06628
Autor:
Szczecinski, Leszek
In this work we develop a new algorithm for rating of teams (or players) in one-on-one games by exploiting the observed difference of the game-points (such as goals), also known as a margin of victory (MOV). Our objective is to obtain the Elo-style a
Externí odkaz:
http://arxiv.org/abs/2010.11187