Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We prove sharp bounds for an existing framework of Gibbs algorithms, and ...
We recapitulate regular one-shot learning from membership and equivalence queries, positive and negative finite data. We present a meta-algorithm that generalizes over as many sett...
The development of ontologies involves continuous but relatively small modifications. However, existing ontology reasoners do not take advantage of the similarities between differe...
Bernardo Cuenca Grau, Christian Halaschek-Wiener, ...
Higher education licensing, i.e. the process of granting permissions to provide certain educational services, is an important process of public administration. Governmental bodies ...
Olga Cherednichenko, Dmytro Kuklenko, Sergiy Zlatk...