Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
We study the feasibility and cost of implementing --a fundamental failure detector at the core of many algorithms--in systems with weak reliability and synchrony assumptions. Intui...
In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Market baskets arise from consumers' shopping trips and include items from multiple categories that are frequently chosen interdependently from each other. Explanatory models...