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Found 6 papers, 2 papers with code
Segmentation analysis and the recovery of queuing parameters via the Wasserstein distance: a study of administrative data for patients with chronic obstructive pulmonary disease
This work uses a data-driven approach to analyse how the resource requirements of patients with chronic obstructive pulmonary disease (COPD) may change, quantifying how those changes impact the hospital system with which the patients interact.
A novel initialisation based on hospital-resident assignment for the k-modes algorithm
This paper presents a new way of selecting an initial solution for the k-modes algorithm that allows for a notion of mathematical fairness and a leverage of the data that the common initialisations from literature do not.
Evolutionary Dataset Optimisation: learning algorithm quality through evolution
We instead aim to gain a richer picture of the performance of an algorithm by generating artificial data through genetic evolution, the purpose of which is to create populations of datasets for which a particular algorithm performs well on a given metric.
An Evolutionary Game Theoretic Model of Rhino Horn Devaluation
The purpose of this work is to discover whether conditions which encourage the poachers to behave selectively exist, that is, they only kill those rhinos with full horns.
Reinforcement Learning Produces Dominant Strategies for the Iterated Prisoner's Dilemma
We present tournament results and several powerful strategies for the Iterated Prisoner's Dilemma created using reinforcement learning techniques (evolutionary and particle swarm algorithms).
Computer Science and Game Theory 91-02
An open reproducible framework for the study of the iterated prisoner's dilemma
With a growing collection of 139 strategies, the library is a also a platform for an original tournament that, in itself, is of interest to the game theoretic community.
Computer Science and Game Theory Physics and Society
