We address the problem of learning in repeated N-player (as opposed to 2-player) general-sum games. We describe an extension to existing criteria focusing explicitly on such setti...
We study the problem of classifying data in a given taxonomy when classifications associated with multiple and/or partial paths are allowed. We introduce an incremental algorithm u...
The Multi-Agent Coordination and Control (MACC) testbed is a modelling and simulation environment for manufacturing control. It provides benefits to both the research community an...
Paul Verstraete, Paul Valckenaers, Hendrik Van Bru...
This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...