From the 1 of 5.5k papers with an AI index.
- Centre National de la Recherche ScientifiqueFR1.7k papers
- Centre Inria de SaclayFR364 papers
- École PolytechniqueFR306 papers
- Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsFR300 papers
- École Normale Supérieure - PSLFR292 papers
- Sorbonne UniversitéFR291 papers
- École Normale Supérieure de LyonFR233 papers
- Centre Inria de l'Université Grenoble AlpesFR216 papers
- Université Paris-SaclayFR208 papers
- Université Grenoble AlpesFR204 papers
- Lyon 1 UniversitéFR191 papers
- Centre Inria d'Université Côte d'AzurFR183 papers
390 papers · 1 filter
On Neighborhood Tree Search
Houda Derbel, Bilel Derbel
We consider the neighborhood tree induced by alternating the use of different neighborhood structures within a local search descent. We investigate the issue of designing a search…
Echo State Queueing Network: a new reservoir computing learning tool
Sebastián Basterrech, Gerardo Rubino
In the last decade, a new computational paradigm was introduced in the field of Machine Learning, under the name of Reservoir Computing (RC). RC models are neural networks which a…
Analysis of exponential splitting methods for inhomogeneous parabolic equations
Erwan Faou, Alexander Ostermann, Katharina Schratz
We analyze the convergence of the exponential Lie and exponential Strang splitting applied to inhomogeneous second-order parabolic equations with Dirichlet boundary conditions. A r…
On the decoding of quasi-BCH codes
Morgan Barbier, Clément Pernet, Guillaume Quintin
In this paper we investigate the structure of quasi-BCH codes. In the first part of this paper we show that quasi-BCH codes can be derived from Reed-Solomon codes over square matri…
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
Mostepha Redouane Khouadjia, Marc Schoenauer, Vincent Vidal +2
All standard AI planners to-date can only handle a single objective, and the only way for them to take into account multiple objectives is by aggregation of the objectives. Further…
Statistical Traffic State Analysis in Large-scale Transportation Networks Using Locality-Preserving Non-negative Matrix Factorization
Yufei Han, Fabien Moutarde
Statistical traffic data analysis is a hot topic in traffic management and control. In this field, current research progresses focus on analyzing traffic flows of individual links…