5 citations · 5 across the 1 of their papers we have counts for
4 papers
An upper bound on the silhouette evaluation metric for clustering
Hugo Sträng, Tai Dinh
The silhouette coefficient quantifies, for each observation, the balance between within-cluster cohesion and between-cluster separation, taking values in the range [-1,1]. The aver…
A data-driven framework for team selection in Fantasy Premier League
Danial Ramezani, Tai Dinh
Fantasy football is a billion-dollar industry with millions of participants. Under a fixed budget, managers select squads to maximize future Fantasy Premier League (FPL) points. Th…
UAMDP: Uncertainty-Aware Markov Decision Process for Risk-Constrained Reinforcement Learning from Probabilistic Forecasts
Michal Koren, Or Peretz, Tai Dinh +1
Sequential decisions in volatile, high-stakes settings require more than maximizing expected return; they require principled uncertainty management. This paper presents the Uncerta…
Quantum Markov Chains: Hub-Pruned Estimation for Fashion Recommenders
Or Peretz, Tai Dinh, Michal Koren
We investigate whether shallow quantum circuits can accurately reproduce the short-horizon dynamics of discrete-time Markov chains derived from fashion electronic-commerce recommen…