We describe and evaluate a multi-objective optimisation (MOO) algorithm that works within the Probability Collectives (PC) optimisation framework. PC is an alternative approach to ...
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
This paper reflects on the HCI community’s current and potential contributions to the problem of promoting physical activity. It does so by first presenting a conceptual overvie...
The current state of the art concerning the problem of service substitution raises the following issue: the complexity of the substitution process scales up with the number of ava...
— Sampling-based motion planners are often used to solve very high-dimensional planning problems. Many recent algorithms use projections of the state space to estimate properties...