Relational Artificial Intelligence

Les fibres de carbone possèdent de très bonnes caractéristiques mécaniques d’autant plus leur masse volumique est faible ( généralement inférieure à 2000 kg /m3) ,le

Quelques réflexions sur les modèles : stratégies de conception, formes mathématiques, hypothèses théoriques, généralisation. Journées CAQ Croissance Amélioration Qualité des

The algorithm for this “direct” optimization is based on a proximal gradient descent and it has been derived by casting the dictionary learning problem into a recent non-convex

In the present work, we propose training different ML models on a large number of previously solved instances of the ALP, so as to obtain an estimate of the lowest cost of the subset

With an efficient solver for QUBO and the Ising model at hand, solving a specific optimization problem reduces to finding an efficient embedding into the domain of n-dimensional

Any set of models created by machine learning algorithms represents information inherited in the underlying training data and can therefore be considered a knowledge base.. In

This section is specifically designed for the original method. However, such format cannot be efficiently used as output label because it would have to be parsed. Each leaf is

And this is where machine learning can be useful, offering a series of techniques to define a sample of informal leaders similar to the Bureau nominees without having to explicitly