This paper presents the results of the NEOLOGOS project: a children database and an optimized adult database for the French language. A new approach was adopted for the collection...
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
This paper presents a logical framework for negotiation based on belief revision theory. We consider that a negotiation process is a course or multiple courses of mutual belief re...
Dongmo Zhang, Norman Y. Foo, Thomas Andreas Meyer,...