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Découvrez le premier agent virtuel au service des citoyens
17 avril 2020Tempo di lettura: < 1 minuto L’Observatoire COM MEDIA présente l’initiative de Quest-IT qui a réalisé un agent virtuel répondant aux questions des administrés du département des…
Read MoreNonparametric small random networks for graph-structured pattern recognition
3 novembre 2018Tempo di lettura: < 1 minuto Taking inspiration from the probabilistic principles underlying the topological regularities observed in random networks, the paper presents a simple and efficient Bayesian framework for…
Read MoreEnhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources
15 mai 2018Tempo di lettura: < 1 minuto Supervised models for Word Sense Disambiguation (WSD) currently yield to state-of-the-art results in the most popular benchmarks. Despite the recent introduction…
Read MoreDynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics
1 octobre 2017Tempo di lettura: < 1 minuto The paper introduces a dynamic extension of the hybrid random field (HRF), called dynamic HRF (D-HRF). The D-HRF is aimed at…
Read MoreOptimally solving permutation sorting problems with efficient partial expansion bidirectional heuristic search
30 mai 2016Tempo di lettura: < 1 minuto In this paper we consider several variants of the problem of sorting integer permutations with a minimum number of moves, a…
Read MoreLearning as Constraint Reactions
15 août 2015Tempo di lettura: < 1 minuto A theory of learning is proposed,which extends naturally the classic regularization framework of kernelmachines to the case in which the agent…
Read MoreImproved multi-level protein–protein interaction prediction with semantic-based regularization
15 avril 2014Tempo di lettura: < 1 minuto Protein–protein interactions can be seen as a hierarchical process occurring at three related levels: proteins bind by means of specific domains, which in turn…
Read MoreExperimental Guidelines for Semantic-Based Regularization
15 avril 2014Tempo di lettura: < 1 minuto This paper presents a novel approach for learning with constraints called Semantic-Based Regularization. This paper shows how prior knowledge in form…
Read MoreSemi-supervised clustering methods
1 juillet 2013Tempo di lettura: < 1 minuto Cluster analysis methods seek to partition a data set into homogeneous subgroups. It is useful in a wide variety of applications,…
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