Unsupervised Grammar Induction in a Framework of Information Compression by Multiple Alignment, Unification and Search

Unsupervised Learning in a Framework of Information Compression by Multiple Alignment, Unification and Search

Updating beliefs with incomplete observations

Updating Probabilities

Updating Sets of Probabilities

Use of Markov Chains to Design an Agent Bidding Strategy for Continuous Double Auctions

Use of Rapid Probabilistic Argumentation for Ranking on Large Complex Networks

Use of semantic technologies for the development of a dynamic trajectories generator in a Semantic Chemistry eLearning platform

Using Artificial Intelligence for Model Selection

Using artificial intelligence techniques to classify IRAS LRS spectra of evolved stars

Using ASP with recent extensions for causal explanations

Using ATL to define advanced and flexible constraint model transformations

Using Belief Theory to Diagnose Control Knowledge Quality. Application to cartographic generalisation

Using Domain Knowledge in Evolutionary System Identification

Using Interval Particle Filtering for Marker less 3D Human Motion Capture

Using machine learning to make constraint solver implementation decisions

Using NLP to build the hypertextuel network of a back-of-the-book index

Using RDF to Model the Structure and Process of Systems

Using Semantic Wikis for Structured Argument in Medical Domain

Using Sets of Probability Measures to Represent Uncertainty