A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
Holonic Multi-Agent Systems (HMAS) are a convenient way to engineer complex and open systems. In such systems, agents have to be able to self-organize to satisfy their goals. Our w...
Sebastian Rodriguez, Nicolas Gaud, Vincent Hilaire...
This paper presents a new development of the NeuroVaria method. NeuroVaria computes relevant atmospheric and oceanic parameters by minimizing the difference between the observed s...
This paper describes a car traffic control simulation realised in a decentralised way by message propagations: congested nodes (roads intersections) send speed-up or slow-down mess...